Call for Papers

Apr 2019 - Volume 10, Issue 2
Deadline: 5 Apr 2019
Notification: 15 Apr 2019
Publication: 30 Apr 2019

June 2019 - Volume 10, Issue 3
Deadline: 5 June 2019
Notification: 15 June 2019
Publication: 30 June 2019

Indexed in


Title : Sentiment Analysis Approaches for Social Media Monitoring
Authors : Bisma Shah, Farheen Siddiqui
Keywords : Sentiment analysis, Naive Bayes Classifier, Social media, Lexical knowledge base, Decision tree.
Issue Date : Feb 2018-Mar 2018
Abstract :
Social media has become an indispensable part of social life. It influences the beliefs, values, and attitudes of people, as well as their intentions and behaviours. Social media acts not only as a platform for personal communication, but also, as a means for communicating opinions about products and services or even political and general events among its users. Due to its widespread and popularity, a huge amount of user reviews or opinions are being generated and shared daily on social media. Therefore, converting social media content into information, key concepts, and themes is crucial for generating knowledge and formulating strategies to support operational, managerial, and strategic decision making. Opinion mining and Sentiment analysis are the formalization for studying and constructing opinions and sentiments. The current paper aims at studying and providing the comparison of different methods of sentiment analysis used for extracting the polarity (positive, negative or neutral) of social media dataset.
Page(s) : 1-11
ISSN : 0976-5166
Source : Vol. 9, No.1
PDF : Download
DOI : 10.21817/indjcse/2018/v9i1/180901100