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
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)


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.


Emotion Product review Polarity Social media Sentiment analysis Wordcloud 


  1. 1.
    Fang X, Zhan J (2015) Sentiment analysis using product review data. J Big Data.
  2. 2.
    Cambria E, Schuller B, Xia Y, Havasi C (2013) New avenues in opinion mining and sentiment analysis. IEEE Intell Syst 28(2):15–21CrossRefGoogle Scholar
  3. 3.
    Mukherjee S, Bhattacharyya P (2012) Feature specific sentiment analysis for product reviews. In: Computational linguistics and intelligent text processing. Lecture notes in computer science, vol 7181. Springer, Berlin, HeidelbergCrossRefGoogle Scholar
  4. 4.
    Liu B (2010) Sentiment analysis: a multi-faceted problem. In: IEEE intelligent systems, vol 25Google Scholar
  5. 5.
    Zhang W, Xu H, Wan W (2012) Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis. Expert Syst Appl 39(11):10283–10291CrossRefGoogle Scholar
  6. 6.
    Wei W, Gulla JA (2010) Sentiment learning on product reviews via sentiment ontology tree. In: 48th annual meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp 404–413Google Scholar
  7. 7.
    Haddia E, Liua X, Shib Y (2013) The role of text pre-processing in sentiment analysis. Procedia Comput Sci 17:26–32CrossRefGoogle Scholar
  8. 8.
    Melville P, Gryc W, Lawrence RD (2009) Sentiment analysis of blogs by combining lexical knowledge with text classification. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, Paris, France, pp 1275–1284. ISBN: 978-1-60558-495-9

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

Personalised recommendations