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Review-analyser

A Natural Language Processing Project.

The dataset containing reviews of customers of a restaurant where each review is classified as either positive review(1) or negative review(0) is used to train our ML model

Feature extraction techniques used: Bag of Words and TFIDF

the accuracy achieved using NaiveBayes algorithm:67%

The accuracy achieved using Support Vector Machine algorithm: on training set:99.7% on testing set:84%

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