Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Sentiment Analysis Using Product Review Data

Author : Roshna Sanjana Kommareddy 1 Dr. Y Mohana Roopa 2

Date of Publication :13th August 2021

Abstract: Analysis of the sentiments is one of the most important NLP jobs. It is frequently called as opinion mining. (Processing of natural language). In recent years, stimulus analysis has attracted considerable interest. The aim of this study is to solve one of the most basic challenges in sentiment analysis: categorising sentiment polarity. The authors offer a general method for categorising sentiment polarity, as well as detailed process descriptions. Data from online product reviews on Amazon.com was collected for this study. Experiments in the classification of sentences and the classification of reviews produced encouraging results. Finally, we provide some insight into our future attempts to analyse our feelings.

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