/Sentiment-Analysis-Module

Module for sentiment analysis

Primary LanguageJupyter Notebook

Sentiment-Analysis-Module

A Sentiment module made with multiple classifiers for accuracy and vote of confidence being voted among the classifiers in order to get high accuracy.
Accuracy : 72.74%
The dataset of the sentiments has been attached in the repository along with pickles of the classifiers used.

Classifiers used

SklearnClassifier, MultinomialNB, BernoulliNB, LogisticRegression, SGDClassifier, SVC, LinearSVC, NuSVC.

Modules and Libraries used

NLTK, Pickle, Sklearn, Random, Statistics.