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Product Review Analysis Using Social Media Data Based on Sentiment Analysis

  • S. M. Mazharul Hoque ChowdhuryEmail author
  • Sheikh Abujar
  • Ohidujjaman
  • Khalid Been Md. Badruzzaman
  • Syed Akhter Hossain
Chapter
  • 36 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)

Abstract

In this current world where everyday people are generating a large amount of data and different business organizations are becoming more and more dependent on it, it has become very important to come out of the traditional methods of data analysis and focusing on the techniques that can prepare much more accurate and valid result to make business decision more easy and simple. This thesis proposes a technique to collect and analyze Twitter posts based on a different keyword-based product searching to generate products market statistical report. Using this program, it can be determined that if any product is getting popularity or losing its market. Few types of results were generated in this project. Each of them has their own type of importance. Overall this type of application can be trusted support for a business analyst or decision makers.

Keywords

Emotion Product review Polarity Social media Sentiment analysis Wordcloud 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • S. M. Mazharul Hoque Chowdhury
    • 1
    Email author
  • Sheikh Abujar
    • 1
  • Ohidujjaman
    • 1
  • Khalid Been Md. Badruzzaman
    • 2
  • Syed Akhter Hossain
    • 1
  1. 1.Department of Computer Science and EngineeringDaffodil International UniversityDhakaBangladesh
  2. 2.Department of Software EngineeringDaffodil International UniversityDhakaBangladesh

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