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Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

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Sentimental Analysis

Tools required - Python IDE

Dataset- Book Reviews

Size of dataset - 10,000 Reviews

Type of dataset - JSON file

Here, we have used 3 different clasifier to predict the text review. One can use different classifier and can also vary the train and test data size.

Accuracy

SVM - 85%

Decicion Tree - 68%

naive Bayes - 64%

For more details and explaination, please read "Sentimental Analysis.md".

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Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

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machine-learning sentiment-analysis python3 bag-of-words tf-idf jupyter-notebooks decision-tree-classifier svm-classifier count-vectorizer amazon-review-dataset naivebayesclassifier

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