Open AccessSentimental Analysis-A Review
Author(s) -
Anil Arora,
. Gitanjali
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40518
Subject(s) - sentiment analysis , computer science , product (mathematics) , face (sociological concept) , naive bayes classifier , process (computing) , social media , politics , data science , artificial intelligence , support vector machine , world wide web , sociology , political science , social science , geometry , mathematics , law , operating system
Sentiment can be defined as a view or opinion that is held or expressed. Whereas, sentiment analysis (SA) is a process of computationally identifying and categorizing opinions expressed in a piece of textual content, particularly to decide the writer's attitude towards a particular topic, product or issue. SA also known as opinion mining is widely used in many domains such as products, services, issues and politics to analyze user’s behaviors or opinion regarding the related topics. Sentiment analysis is used to analyse the review of product, political issues, reviews on the social media such as face book, twitter, movies etc. where the different users can provide feedback and analyze it. It is also important for Business development by providing the product review and knows exactly what the customer wants. In this work, we have reviewed the latest developments in sentiment analysis. Keywords: Machine Learning, Supervised Learning, Support Vector Machine, Naive Bayes.