Comprehensive Study on Sentiment Analysis: Types, Approaches, Recent Applications, Tools and APIs

Title

Comprehensive Study on Sentiment Analysis: Types, Approaches, Recent Applications, Tools and APIs

Creator

Saju B.; Jose S.; Antony A.

Description

Sentiment analysis can be considered a major application of machine learning, more particularly natural language processing (NLP). As there are varieties of applications, Sentiment analysis has gained a lot of attention and is one among the fastest growing research area in computer science. It is a type of data analysis which is observed from news reports, user reviews, feedbacks, social media updates etc. Responses are collected and analyzed by researchers. All sentiments can be classified into three categories-Positive, Negative and Neutral. The paper gives a detailed study of sentiment analysis. It explains the basics of sentiment analysis, its types, and different approaches of sentiment analysis. The recent tools and APIs along with various real world applications of sentiment analysis in various areas are also described briefly. 2020 IEEE.

Source

Proceedings - 2020 Advanced Computing and Communication Technologies for High Performance Applications, ACCTHPA 2020, pp. 186-193.

Date

2020-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

API; NLP; Sentiment Analysis

Coverage

Saju B., Christ(Deemed to be University), Bangalore, India, NIMIT, Computer Science Department, Pongam, India; Jose S., NIMIT, Computer Science Department, Pongam, India; Antony A., NIMIT, Computer Science Department, Pongam, India

Rights

Restricted Access

Relation

ISBN: 978-172816453-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ACCTHPA49271.2020.9213209

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094605917&doi=10.1109%2fACCTHPA49271.2020.9213209&partnerID=40&md5=240391f4353f92c7e074e5a1876ee670