Sentiment Analysis with Social Media Analytics, Methods, Process, and Applications

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Author(s): Karteek Ramalinga Ponnuru (BML Munjal University, India), Rashik Gupta (BML Munjal University, India)and Shrawan Kumar Trivedi (BML Munjal University, India)
Copyright: 2017
Pages: 17
Source title: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Source Author(s)/Editor(s): Shrawan Kumar Trivedi (BML Munjal University, India), Shubhamoy Dey (Indian Institute of Management, Indore, India), Anil Kumar (BML Munjal University, India)and Tapan Kumar Panda (Jindal Global Business School, India)
DOI: 10.4018/978-1-5225-2031-3.ch011

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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Abstract

Firms are turning their eye towards social media analytics to get to know what people are really talking about their firm or their product. With the huge amount of buzz being created online about anything and everything social media has become ‘the' platform of the day to understand what public on a whole are talking about a particular product and the process of converting all the talking into valuable information is called Sentiment Analysis. Sentiment Analysis is a process of identifying and categorizing a piece of text into positive or negative so as to understand the sentiment of the users. This chapter would take the reader through basic sentiment classifiers like building word clouds, commonality clouds, dendrograms and comparison clouds to advanced algorithms like K Nearest Neighbour, Naïve Biased Algorithm and Support Vector Machine.

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Sentiment Analysis with Social Media Analytics, Methods, Process, and Applications

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