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README.md

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+---
+license: mit
+tags:
+- infinite-dataset-hub
+- synthetic
+---
+
+# CommentSentiment
+
+tags: classification, text analysis, user sentiment
+
+_Note: This is an AI-generated dataset so its content may be inaccurate or false_
+
+**Dataset Description:**
+
+The 'CommentSentiment' dataset comprises Instagram comments extracted from various posts across multiple categories, including fashion, food, travel, and technology. Each comment has been processed for sentiment analysis to determine whether the user's sentiment towards the post's content is positive, neutral, or negative. The dataset is labeled accordingly and includes additional metadata such as the post ID, user ID, and timestamp of the comment.
+
+**CSV Content Preview:**
+
+```csv
+id,user_id,timestamp,comment,label
+1,10023,2023-03-01T12:34:56Z,"Loved the vibrant colors in this outfit! #fashiongoals",positive
+2,10458,2023-03-01T13:21:35Z,"The food pics are great, but I hope the taste is as good as the picture!",neutral
+3,11224,2023-03-02T15:00:00Z,"Sad to hear about the tech product. So disappointing!",negative
+4,12145,2023-03-02T16:45:23Z,"This travel photo is breathtaking. Love exploring new places!",positive
+5,13256,2023-03-03T18:00:00Z,"No idea why people love these bland food items. :/",negative
+```
+
+**Source of the data:**
+
+The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'instagram comment':
+
+- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=instagram+comment&dataset=CommentSentiment&tags=classification,+text+analysis,+user+sentiment
+- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
+- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub