/Sentimental-Analysis

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

Primary LanguageJupyter Notebook

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".