KKSSA Technique A Novel Technique for Evaluating Human Sentiments from Text
Karamjeet Kaur1, Mohammad Shabaz2
1Karamjeet Kaur, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
2Mohammad Shabaz, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 159-161 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3605048619/19©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: Social media become trending object, nowadays people of every age group interested in social media huge amount of live data available on social media. Social media websites have evolved to become a source of various kind of information. These social networks give the birth to sentimental analysis. Sentiments are the feelings or passion towards anything. In this research paper we tried to extract data from social networking sites by using association mining technique to know about the people’s opinion about trending and upcoming matters. In this research paper we use KKSSA technique to perform sentimental analysis on the live data extracted from social source i.e. twitter. The key challenge was to perform sentimental analysis on different people’s huge set of live data. Sentimental analysis performed on this data by comparing the live data set with predefines data set (negative and positive dataset). The result is depending upon the situation the sentiments are obtained for.
Keyword: Link Prediction, Opinion Mining, Sentimental Analysis, AS Approach.
Scope of the Article: Health Monitoring and Life Prediction of Structures