Paper Contents
Abstract
Sentiment analysis on amazon product reviews, here we want to analyze between Amazon product reviews and rating of the products given by the customers. This gives the result of the amazon reviews dataset and studies sentiment classification with different machine learning approaches. We use word2vec model in this paper. Our experimentation contains two parts: First, the reviews are transformed in to vector representation using Continuous Bag of Words and Skip gram. And then, we trained the machine learning algorithms such as Random Forest and Long Short-term Memory (LSTM). The results shows that LSTM with Word2Vec gives best accuracy.
Paper ID:
IJPREMS6981019
ISSN:
2321-9653
Publisher:
ijprems