Various Aspects of Sentiment Analysis: A Review

8 Pages Posted: 10 Apr 2019

See all articles by Harshita Pandey

Harshita Pandey

DIT University, Dehradun

Amit Kumar Mishra

DIT University, Dehradun

Dr Narendra Kumar

Independent

Date Written: February 8, 2019

Abstract

Sentiment Analysis (SA) is the utmost progressive research field in natural language processing that focuses on identifying the emotions of a writer behind the series of words and classifies public attitude, opinion from visuals, audios and texts. This paper categorizes and presents a refined study of recently published articles related with sentiment analysis research. It demonstrates an outline of the prime issues and challenges, explores sentiment resources and discusses practical techniques and tools practiced in this context. It also provides an insight of various sentiment analysis applications in several different scenarios, current enhancements and describes the possible future directions for deeper understanding of human emotions.

Keywords: Sentiment Analysis, Feature extraction, Sentiment Classification, Machine Learning, Lexicons, Sentiment Polarity

Suggested Citation

Pandey, Harshita and Mishra, Amit Kumar and Kumar, Dr Narendra, Various Aspects of Sentiment Analysis: A Review (February 8, 2019). Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019, Available at SSRN: https://ssrn.com/abstract=3349011 or http://dx.doi.org/10.2139/ssrn.3349011

Harshita Pandey (Contact Author)

DIT University, Dehradun ( email )

Dehradun
Uttarakhand
India

Amit Kumar Mishra

DIT University, Dehradun ( email )

Dehradun
Uttarakhand
India

Dr Narendra Kumar

Independent ( email )

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