A Survey on Semantically Data Classification Analysis Algorithm for Social Media
Aarti Pandey1, Prabhat Pandey2
1Aarti Pandey, Department of Computer Science, Awadhesh Pratap Singh University, Rewa (Madhya Pradesh). India.
2Dr. Prabhat Pandey, Professor, Department of Physics, OSD, Office of Additional Director, Higher Education Rewa (Madhya Pradesh). India.
Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 7-9 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4584065516/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now in these days a number of users are participating in the social media and they are actively participating in conversation with their friends and community. Due to this sometimes the youth and teen agers are participating in non-social communities. Thus a new kind of data model is required to design by which the user communication and their patterns are accurately classified according to their semantics meaning. Thus a text content analysis technique is designed using the available automatic text classification technique. Using this technique the correlation between different words and their utilization in different semantics sentences are analyzed and based on the effects of these words a rule based classification technique is developed.
Keywords: Sentiment, Opinion, Semantic, Data Processing
Scope of the Article: Classification