Survey on Sentiment Analysis Using Machine Learning

Authors

  • Parth Deshmukh
  • Adesh Gadge
  • Aniket Ganbote
  • Swapnali Garud
  • Prof. D. S. Kulkarni

Keywords:

Natural Language Processing (NLP); Text Mining; Information Retrieval (IR); Data Mining; Sentiment Analysis; Opinion Mining; Machine Learning (ML); SentiWordNet (SWN); Lexicon; Natural Language Processing Toolkit (NLTK).

Abstract

Sentiment Analysis is the mining of opinions, sentiments & subjectivity of the context. It is the
process of computationally identifying & categorizing opinions expressed in a piece of text,
especially in order to determine whether the writer's attitude towards a particular topic,
product, etc. is positive, negative, or neutral. Sentiment Analysis (SA) or Opinion Mining
(OM) is the study of people’s opinions, monitoring social media & other online resources for
customer reviews to understand customer understanding of significant in business analysis.
SA or OM is used over a large area so that peoples can make an effective type of decision
from other people’s reviews. SA plays important role in our day to day life while taking
decisions about buying online products & for movie reviews. It is field of study that identifies
& extracts subjective information from structured & unstructured texts.

Published

2019-04-02

Issue

Section

Articles