Sentiment Analysis-Applications and methods

Prof. Samir Kumar Bandyopadhyay , Ms. Sanjukta Chakraborty

Lexicon, Text Analysis, Machine Learning and Rule-Based System

Text data is the main source of communication in several social networking sites. Emotion of a human being is clear only if it is used in combination with gestures and facial expression instead of text. It is important to recognize the sentimental purpose present behind the text if proper analysis is done through the text. Several researches are ongoing to make computer and human interaction as effective as it can detect the sentimental state of a person. This paper reviews exiting work done in different areas of sentiment analysis.

Published Paper   E-Certificate

"Sentiment Analysis-Applications and methods", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.70 - 74, March-2019, Available :https://ijsdr.org/papers/IJSDR1903015.pdf

Volume 4 Issue 3, March-2019

Pages : 70 - 74

Paper Reg. ID: IJSDR_190185

Published Paper Id: IJSDR1903015

Downloads: 000347195

Research Area: Engineering

Country: Kolkata, West Bengal, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1903015

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1903015

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition