A Comprehensive Survey on Sentiment Analysis Using Machine Learning Techniques

  • Naeem Ahmed
  • Tariq Shah
  • Wakeel Ahmad
  • S.M. Adnan Shah
Keywords: Sentiment Analysis; Natural Language Processing; Machine Learning; Text Mining.


Analysis of sentiment is a method of retrieving the information or emotions of peoples about any product or service. We can use data from social media platforms, blogs, product reviews websites and E-Commerce websites for using this data for analysis purposes. So, by this process we can get thinking or feelings of others that helps us in decision making. Various machine learning techniques can be applied on this data for getting useful insights that helps in decision making. This paper discusses and compares various machine learning and non-machine learning sentiment analysis techniques, applications, and challenges.

How to Cite
Naeem Ahmed, Tariq Shah, Wakeel Ahmad, & S.M. Adnan Shah. (2020). A Comprehensive Survey on Sentiment Analysis Using Machine Learning Techniques. University of Sindh Journal of Information and Communication Technology , 4(4), 227 - 233. Retrieved from https://sujo.usindh.edu.pk/index.php/USJICT/article/view/3297

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