/Sentiment_Analysis_on_Reviews

Sentiment analysis is performed on amazon review data

Primary LanguageJupyter Notebook

SentimentAnalysis-1

Sentiment analysis is performed on amazon review data This code is for extracting sentiment from amazon review data set provided by UCSD.

Dataset used - Amazon review data - UCSD dataset

Dataset Citations

Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering R. He, J. McAuley WWW, 2016 pdf

PROCEDURE FOLLOWED

  • Sentiment is not directly provided in the data set, so polarity is obtained for each review using text blob library

  • Dataset is divided into test and train

  • Following are the classifiers used for the analysis purpose

    1. Naive Bayes
    2. Decision Tree
    3. Adaboost Classifier
    4. Random Classifier
    5. Multi Layer Perceptron

    RESULT MLP outperfomed other classifiers