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A Review on Sentiment Analysis of Opinion Mining

  • Sireesha Jasti
  • Tummala Sita Mahalakshmi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

In the recent era of Internet, social network plays very important role and occupies majority of share in data sharing between various groups. The data in social sites contain multidimensional data posted by different types of people. The posting contain people observations, thoughts, opinions, decisions and the rationale behind those decisions. Based on these postings or tweets one can analyse the sentiment about that specific product, service, event or any other participating by sharing their opinions, activity thoughts and ideas. In this paper, efficient algorithms are discussed for sentiment analysis of the tweets. The opinion on a specific topic mainly depends on the people, also the accuracy of opinions mining depends on the polarity strength. In this paper various Machine learning algorithms and various pre-processing techniques that make the data ready for opinion mining are discussed.

Keywords

Opinion mining Sentiment analysis Social media Internet Feature extraction Tweets Filtering Pre-processing 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.GITAM UniversityVisakhapatnamIndia
  2. 2.Department of CSEMalla Reddy Engineering College (A)SecunderabadIndia

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