Design of Hybrid Method for Automatic Sentiment Classification System
D. Aruna Kumari1, P. Rajashekar2, PKVS Sarma3

1Dr. Aruna Kumari, Professor, Department of CSE,VJIT, Hyderabad (Telangana), India.
2P. Rajashekar, Assistant Professor, Department of CSE, VJIT, Hyderabad (Telangana), India.
3PKVS Sarma, Assistant Professor, Department of CSE, VJIT, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3616-3620 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14530982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1453.0982S1119
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Abstract: The Developing enthusiasm for the field of opinion mining and its applications in various regions of information and also, sociology has activated numerous researchers to investigate the field The chance to catch the opinion of the overall public about get-togethers, political developments, organization systems, advertising efforts, and item inclinations has raised expanding enthusiasm of both scientific community (as a result of the energizing open difficulties) and the business world (due to the wonderful advantages for promoting and money related market expectation). Today, sentiment analysis investigation has its applications in a few unique situations. There are a decent number of organizations, both huge and little scale, that focuses on opinions and sentiments as a major aspect of their central goal. This work introduces hybrid approach that includes lexicon based approach and machine learning approach for extracting aspects and sentiments.
Keywords: CNN, Sentiment, Feature Extraction.
Scope of the Article: Classification