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              <text>Comprehensive Study on Sentiment Analysis: Types, Approaches, Recent Applications, Tools and APIs</text>
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              <text>API; NLP; Sentiment Analysis</text>
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              <text>Sentiment analysis can be considered a major application of machine learning, more particularly natural language processing (NLP). As there are varieties of applications, Sentiment analysis has gained a lot of attention and is one among the fastest growing research area in computer science. It is a type of data analysis which is observed from news reports, user reviews, feedbacks, social media updates etc. Responses are collected and analyzed by researchers. All sentiments can be classified into three categories-Positive, Negative and Neutral. The paper gives a detailed study of sentiment analysis. It explains the basics of sentiment analysis, its types, and different approaches of sentiment analysis. The recent tools and APIs along with various real world applications of sentiment analysis in various areas are also described briefly.   2020 IEEE.</text>
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              <text>Saju B.; Jose S.; Antony A.</text>
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              <text>Proceedings - 2020 Advanced Computing and Communication Technologies for High Performance Applications, ACCTHPA 2020, pp. 186-193.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ACCTHPA49271.2020.9213209" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCTHPA49271.2020.9213209&lt;/a&gt;
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              <text>ISBN: 978-172816453-3</text>
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              <text>Saju B., Christ(Deemed to be University), Bangalore, India, NIMIT, Computer Science Department, Pongam, India; Jose S., NIMIT, Computer Science Department, Pongam, India; Antony A., NIMIT, Computer Science Department, Pongam, India</text>
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