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PRODUCT REVIEWS SENTIMENT ANALYSIS USING MACHINE LEARNING: A SYSTEMATIC LITERATURE REVIEW.

A huge amount of data is available on the internet and social media platforms. It is necessary to use this in data in an efficient way. The growth of the companies depends on the satisfaction of their customers. This makes the sentiment analysis an important and challenging activity. In this literat...

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Published in:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2361 - 2368
Main Authors: PARUCHURI, HARISH, VADLAMUDI, SIDDHARTHA, AHMED, ALIM AL AYUB, EID, WESAM, DONEPUDI, PRAVEEN KUMAR
Format: research systematic review 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
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        atl: PRODUCT REVIEWS SENTIMENT ANALYSIS USING MACHINE LEARNING: A SYSTEMATIC LITERATURE REVIEW.
      aug:
        au:
          PARUCHURI, HARISH
          VADLAMUDI, SIDDHARTHA
          AHMED, ALIM AL AYUB
          EID, WESAM
          DONEPUDI, PRAVEEN KUMAR
        affil: Department of Information Technology, Anthem, Inc., USA
      sug:
        subj:
          Product Evaluation
          Emotions
          Public Opinion
          Machine Learning
          Sentiment Analysis
          Human
          Systematic Review
          Consumer Satisfaction
          Decision Trees
          Random Forest
      ab: A huge amount of data is available on the internet and social media platforms. It is necessary to use this in data in an efficient way. The growth of the companies depends on the satisfaction of their customers. This makes the sentiment analysis an important and challenging activity. In this literature review, we identified various machine learning algorithms that can be used for this purpose.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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