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Create strengths_and_weaknesses.txt
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strengths_and_weaknesses.txt
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strengths
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- the model is trained with almost 15.000 comments and the distribution of the rates are balanced
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- it can predict the rating very accurate if the actual rating is in the interval [1,4]
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- exclamation mark and emojis effects the output rating
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weaknesses
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- the model is having trouble with predicting the rating if the actual rating is close to 0 and 5
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- longer comments tends to be considered as average rating since it increases the neutral score
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- exclamation mark and emojis effects the output rating
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