this dataset is downloaded from kaggle and in this dataset containes all the customer id's and the reviews given, and whether the review is positive, negative or neutral and we need to predict which part of the sentence is reponsible for the review being positive, negative or neutral and this can be simply done by using sentiment analyzer in sklearn library but the accuracies are too low so alternatively please suggest some solution!
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this dataset is downloaded from kaggle and in this dataset containes all the customer id's and the reviews given, and whether the review is positive, negative or neutral and we need to predict which part of the sentence is reponsible for the review being positive, negative or neutral and this can be simply done by using sentiment analyzer in skl…
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ganapathi12/sentiment-analysis-
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this dataset is downloaded from kaggle and in this dataset containes all the customer id's and the reviews given, and whether the review is positive, negative or neutral and we need to predict which part of the sentence is reponsible for the review being positive, negative or neutral and this can be simply done by using sentiment analyzer in skl…
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