Web Interaction based Business Sentiment Analysis using Benchmark Classifier
Syed Salim1, Madhu B K2
1Syed Salim*, Research Scholar, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India.
2Dr. Madhu B K, Professor and Head, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 2244-2247 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4657049620/2020©BEIESP | DOI: 10.35940/ijitee.F4657.049620
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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: Success of the business activities may showcase positive progress or developments of the country. These successes involve huge efforts with respect to analysis of the market, target customers, environment, availability of the resources and many more. Analysis would incur both the time and initial investment. Hence, most of the new business initiatives usually drop at the beginning stage. The proposed paper is trying to provide a solution to these cases by involving technological aspects and data from social media’s. Social media has provided a platform for the internet users to share their views and opinions on some of the components. These could be the resources to generate an analytical report for new or existing business strategies.
Keywords: Sentiment Analysis, Machine Learning, Classification, Natural Language Processing
Scope of the Article: Natural Language Processing