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EXTRACTING USER BEHAVIOURAL CONTROL STYLES BASED ON PROCESS MINING.

With the increase in advancement in Artificial Intelligence and Data Mining, sentiment analysis is a hot topic. Also, social media is getting more coverage. Public and private opinions on a wide range of topics are constantly shared and distributed through a variety of social media platforms. Twitte...

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Published in:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2611 - 2617
Main Authors: DAVID, SHIELA, SARANGI, DIVYANG, CHAKRABORTY, AGNIVA, MAHADEVAN, C. AKASH
Format: tables/charts Journal Article
Published: Turkish Journal of Physiotherapy & Rehabilitation 2021
Online Access:View this record in EBSCOhost
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      dt: 2021
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      pub: Turkish Journal of Physiotherapy & Rehabilitation
      place: Kizilay/ Ankara, <Blank>
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        atl: EXTRACTING USER BEHAVIOURAL CONTROL STYLES BASED ON PROCESS MINING.
      aug:
        au:
          DAVID, SHIELA
          SARANGI, DIVYANG
          CHAKRABORTY, AGNIVA
          MAHADEVAN, C. AKASH
        affil: Assistant Professor, Department of CSE, SRMIST Ramapuram, Chennai-89, India
      sug:
        subj:
          Data Mining
          Artificial Intelligence
          Social Media
          Twitter
          Natural Language Processing
          Software
          Data Analysis
          Consumer Attitudes
      ab: With the increase in advancement in Artificial Intelligence and Data Mining, sentiment analysis is a hot topic. Also, social media is getting more coverage. Public and private opinions on a wide range of topics are constantly shared and distributed through a variety of social media platforms. Twitter is a popular social media platform. Twitter provides businesses with a quick and easy way to assess their consumers' views on issues that are vital to their success in the marketplace. It solves the underlying problem of sentiments that is generally lost in between tweets and retweets. This would improve understanding of the underlying context and the sentiment behind the particular tweet and gain clarity on the subject. We achieve this strategy, with techniques such as Data Mining and Natural Language Processing for extractCreating a sentiment analysis software is a method for measuring consumers' expectations computationally. This paper describes the development of a sentiment analysis that extracts a large number of tweets. Thus, we arrive at a conclusion where we expect to achieve an attractive accuracy rate using this technique.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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