A Study of Sentiment Analysis: Concepts, Techniques, and Challenges

  • Ameen Abdullah Qaid AqlanEmail author
  • B. Manjula
  • R. Lakshman Naik
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 28)


Sentiment analysis (SA) is a process of extensive exploration of data stored on the Web to identify and categorize the views expressed in a part of the text. The intended outcome of this process is to assess the author attitude toward a particular topic, movie, product, etc. The result is positive, negative, or neutral. These study illustrated different techniques in SA approach for extracting and analytics sentiments associated with the polarity of positive, negative, or neutral on the topic selected. Social networks SA can be a useful source of information and data. SA acquires important in many areas of business, politics, and thought. So, this study contains a comprehensive overview of the most important studies in this field from the past to the recent studies till 2017. The main aim of this study is to provide full concept about SA techniques and its classification and methods used it. Also, we give a brief overview of big data techniques and its relation and use in SA field. Because the recent period has witnessed a remarkable development in the use of Big Data (Hadoop) in the process collection of data and reviews from social networks for analysis.


Big data Classification Challenges Sentiment analysis Social media Twitter 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ameen Abdullah Qaid Aqlan
    • 1
    Email author
  • B. Manjula
    • 1
  • R. Lakshman Naik
    • 2
  1. 1.Department of Computer ScienceKakatiya UniversityWarangalIndia
  2. 2.Department of Information TechnologyKakatiya UniversityWarangalIndia

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