Sentiment Analysis: From Opinion Mining to Human-Agent Interaction
Adlene Ebenezer P.1, Srijan Saumya2, Anand Kumar3, Sumit Saikia4, Abhishek Raj5
1Adlene Ebenezer P., Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Srijan Saumya, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Anand Kumar, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Sumit Saikia, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
5Abhishek Raj Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1450-1454 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6234048419/19©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: This framework proposes the strategies for sentiment analysis considered for the eye to eye and human-specialist associations. We have thought about the techniques for our proposed framework and its convention of assessment regarding the current sentiment analysis strategies and have demonstrated how our proposed framework has coordinated the human-operator communication angles. Finally, we proposed a top to bottom execution analysis of the outcomes gotten by the assessment, with the talk on the diverse troubles and the significant difficulties of sentiment analysis in our proposed human-operator connections with the usage and working of the map reduce.
Keywords: ECA, Human Agent Interaction, Map Reduce, Opinion-Mining, Sentiment-Analysis.
Scope of the Article: Data Management, Exploration, and Mining