Mining on Social Media

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Author(s): Ambati Venkata Krishna Prasad (KL University, India)and Venkata Naresh Mandhala (KL University, India)
Copyright: 2017
Pages: 17
Source title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-1877-8.ch013

Keywords: Business & Management / Data Mining and Databases / Decision Support Systems / Information Science Reference

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Abstract

Social media mining is the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. Social media is favored by many users since it is available to individuals without any limitations to share their opinions, educational learning experiences and concerns via their status. Twitter API, twitter4j, is processed for searching the tweets based on the geo location. Student's posts on social network offers us a stronger concern to take decisions concerning the particular education system's learning method of the system. Evaluating knowledge in social media is sort of a difficult method. Bayes classifier are enforced on deep-mined knowledge for analysis purpose to urge the deeper understanding of the information. It uses multi label classification technique as every label falls into completely different classes. Label based measures are mostly taken to research the results and comparing them with the prevailing sentiment analysis technique.

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