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Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "Original HP 10 + 82 Design-jet Ink Cartridge Set - Expiry 2020 #HP #ebay https://t.co/QHQHqXerfi via @eBay" STOCK: nan DATE: nan
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan
The stock shows a neutral return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan
Predicted 1_DAY_RETURN: nan Predicted 2_DAY_RETURN: nan Predicted 7_DAY_RETURN: nan
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "HP" STOCK: 14/09/2018 DATE: 25.04
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.375 and the TextBlob polarity score is @eBay.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: 14/09/2018 1_DAY_RETURN: -0.0175718849840254 2_DAY_RETURN: -0.0143769968051118 3_DAY_RETURN: -0.0131789137380191 7_DAY_RETURN: 5509826.0
The stock shows a consistent positive return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: 14/09/2018 LAST_PRICE: -0.0011980830670925 PX_VOLUME: 10.452 VOLATILITY_10D: 15.356 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.375 TEXTBLOB_POLARITY: @eBay
Predicted 1_DAY_RETURN: -0.0175718849840254 Predicted 2_DAY_RETURN: -0.0143769968051118 Predicted 7_DAY_RETURN: 5509826.0
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Reuters: U.S. Open champion Naomi Osaka named Nissan ambassador, gives hope to biracial Japanese https://t.co/pIo9TyMDUs Via @ReutersTV… " STOCK: Nissan DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Nissan 1_DAY_RETURN: -0.0136792452830188 2_DAY_RETURN: -0.030188679245283 3_DAY_RETURN: -0.0221698113207547 7_DAY_RETURN: -0.0367924528301886
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Nissan LAST_PRICE: 1060.0 PX_VOLUME: 15909200.0 VOLATILITY_10D: 16.015 VOLATILITY_30D: 14.02 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: -0.0136792452830188 Predicted 2_DAY_RETURN: -0.030188679245283 Predicted 7_DAY_RETURN: -0.0367924528301886
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR, and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "@JohnLegere @TMobile Nah Bruh I Was Thinking Tmobiles Deal Would Be Better Than Verizons. Seems Like Verizon Has Th… https://t.co/OMv7szkNje " STOCK: Verizon DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.5.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Verizon 1_DAY_RETURN: 0.0071494042163153 2_DAY_RETURN: 0.0076993583868011 3_DAY_RETURN: 0.0031164069660861 7_DAY_RETURN: -0.0100824931255728
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Verizon LAST_PRICE: 54.55 PX_VOLUME: 13454687.0 VOLATILITY_10D: 17.305999999999994 VOLATILITY_30D: 14.012 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.5
Predicted 1_DAY_RETURN: 0.0071494042163153 Predicted 2_DAY_RETURN: 0.0076993583868011 Predicted 7_DAY_RETURN: -0.0100824931255728
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @verizon: Free calling, text and data for Georgia, North Carolina, South Carolina and Virginia Verizon Wireless customers impacted by Hu… " STOCK: Verizon DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.4.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Verizon 1_DAY_RETURN: 0.0071494042163153 2_DAY_RETURN: 0.0076993583868011 3_DAY_RETURN: 0.0031164069660861 7_DAY_RETURN: -0.0100824931255728
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Verizon LAST_PRICE: 54.55 PX_VOLUME: 13454687.0 VOLATILITY_10D: 17.305999999999994 VOLATILITY_30D: 14.012 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.4
Predicted 1_DAY_RETURN: 0.0071494042163153 Predicted 2_DAY_RETURN: 0.0076993583868011 Predicted 7_DAY_RETURN: -0.0100824931255728
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "@SecretarySonny @fema Google Pixel Fraud might happen again with the launch of Pixel 3 on 9 October 2018 @Google i… https://t.co/155sku7fga " STOCK: Google DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Google 1_DAY_RETURN: 0.0035314691251125 2_DAY_RETURN: -0.0054160512063024 3_DAY_RETURN: 0.0101954192770675 7_DAY_RETURN: -0.0003310752304793
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Google LAST_PRICE: 1177.98 PX_VOLUME: 1208767.0 VOLATILITY_10D: 16.637 VOLATILITY_30D: 16.840999999999998 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0035314691251125 Predicted 2_DAY_RETURN: -0.0054160512063024 Predicted 7_DAY_RETURN: -0.0003310752304793
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "Just saw this on Amazon: Kohree Curtain Lights, Wedding Light Remote... by Kohree for $20.99 https://t.co/CQw1ATEp0B via @amazon " STOCK: Amazon DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.15000000000000002.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Amazon 1_DAY_RETURN: 0.0099888843208014 2_DAY_RETURN: 0.0100548678046279 3_DAY_RETURN: 0.0086083068130485 7_DAY_RETURN: -0.0091970825148844
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Amazon LAST_PRICE: 1970.19 PX_VOLUME: 3642030.0 VOLATILITY_10D: 23.601 VOLATILITY_30D: 19.372 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.15000000000000002
Predicted 1_DAY_RETURN: 0.0099888843208014 Predicted 2_DAY_RETURN: 0.0100548678046279 Predicted 7_DAY_RETURN: -0.0091970825148844
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "Just saw this on Amazon: LED Light Up Christmas Bulb Necklace Party Favors by Windy City Novelties https://t.co/ca0E4Eo3al via @amazon" STOCK: nan DATE: nan
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan
The stock shows a neutral return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan
Predicted 1_DAY_RETURN: nan Predicted 2_DAY_RETURN: nan Predicted 7_DAY_RETURN: nan
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "Amazon" STOCK: 14/09/2018 DATE: 1970.19
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.4 and the TextBlob polarity score is @amazon.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: 14/09/2018 1_DAY_RETURN: 0.0100548678046279 2_DAY_RETURN: 0.0086083068130485 3_DAY_RETURN: -0.0091970825148844 7_DAY_RETURN: 3642030.0
The stock shows a consistent positive return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: 14/09/2018 LAST_PRICE: 0.0099888843208014 PX_VOLUME: 23.601 VOLATILITY_10D: 19.372 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.4 TEXTBLOB_POLARITY: @amazon
Predicted 1_DAY_RETURN: 0.0100548678046279 Predicted 2_DAY_RETURN: 0.0086083068130485 Predicted 7_DAY_RETURN: 3642030.0
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "@renebln @Samsung Believe me, they wished they could be such expensive as well but since Apple does this already, t… https://t.co/D3WleXueav " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is -0.25.
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends.
STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667
The stock shows a consistent negative return trend over the specified periods.
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN.
STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.25
Predicted 1_DAY_RETURN: 0.0114814152966404 Predicted 2_DAY_RETURN: -0.0123749106504646 Predicted 7_DAY_RETURN: -0.0113473909935667
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned.
TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent " STOCK: Apple DATE: 14/09/2018
Sentiment: (Provide sentiment here) Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0.