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              <text>Sentiment analysis of impact of social platforms on the market share of a company</text>
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              <text>Feature extraction; Natural Language Processing; Sentiment analysis; Visualization</text>
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              <text>Sentimental analysis is also known as opinion mining or emotion AI. It refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, and study affective states and subjective information. In this paper, Amazon reviews and blogs are analyzed to detect the sentiment using linguistic feature utility. Evaluation of the usefulness of existing lexical resources as well as capturing information about the informal and creative language used in online service platform is done. The goal of this research is to show the impact on the market-share of Vivo in comparison with that of Oppo and highlight the reason for the impact.  BEIESP.</text>
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              <text>Bharti N.; Saravana Kumar K.</text>
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              <text>International Journal of Recent Technology and Engineering, Vol-8, No. 2, pp. 540-543.</text>
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              <text>Blue Eyes Intelligence Engineering and Sciences Publication</text>
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              <text>&lt;a href="https://doi.org/10.35940/ijrte.B1594.078219" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.35940/ijrte.B1594.078219&lt;/a&gt;
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              <text>All Open Access; Gold Open Access</text>
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              <text>ISSN: 22773878</text>
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              <text>Bharti N., Computer Science Department, Christ (Deemed to be University), Bengaluru, India; Saravana Kumar K., Computer Science Department, Christ (Deemed to be University), Bengaluru, India</text>
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