GitHub - moazzamumer/Sentiment-Analysis-Product-Reviews: Sentiment Analysis on product reviews using Bag of Words and N-gram vectors. Different machine learning classifiers such as Naïve Bayes, Logistic Regression, Random Forest, SVM, Perceptron are trained to obtain and compare different performances. Results are compared on the basis of evaluation matrices like accuracy, Precision, Recall and F-score.

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Sentiment Analysis on product reviews using Bag of Words and N-gram vectors. Different machine learning classifiers such as Naïve Bayes, Logistic Regression, Random Forest, SVM, Perceptron are trained to obtain and compare different performances. Results are compared on the basis of evaluation matrices like accuracy, Precision, Recall and F-score.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
WordSimilarity.ipynb		WordSimilarity.ipynb
reviews.csv		reviews.csv
sentiment_analysis.ipynb		sentiment_analysis.ipynb