Feature Based Opinion Mining using Text Analysis for Chhattisgarh Tourism Industry
Riya Sharma1, Ani Thomas2
1Riya Sharma*, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
1Dr. (Mrs.) Ani Thomas, Professor and Head, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 6-9 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34330710120/2020©BEIESP | DOI: 10.35940/ijsce.A3433.0710120
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© The Authors. Published By: 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: Opinion mining is an approach of natural language processing (NLP) that distinguishes the emotional tone of the content or any sentence. This is often a well known approach to decide the assessment about an item, administration or thought. It includes the utilization of information mining, AI and man-made consciousness for conclusion and emotional data of the content. opinion mining is also referred as sentiment analysis .Sentient analysis can be said as study of human emotions .we can arrange those notions into positive and negative from any content . It is a procedure of evaluating the emotional value in content ,to have a comprehension of frames of mind, suppositions and emotions are expressed .The feedback of Tourists are important for Tourism Industries, because it enables to plan marketing strategies based on the reviews .So it is necessary to understand their sentiments about its distinctive features as overall sentiment of a place. Opinion mining is necessary for Chhattisgarh to enhance its tourism industry.
Keywords: Natural language processing, Opinion mining, Sentiment analysis, Tourism.