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Fundamentals of Sentiment Analysis: Concepts and Methodology

  • Published:2016 Issue: Volume: Page:25-48
  • ISSN:1860-949X
  • Container-title:Sentiment Analysis and Ontology Engineering
  • language:
  • Short-container-title:

Author:

Pawar A. B.,Jawale M. A.,Kyatanavar D. N.

Publisher

Springer International Publishing

Reference14 articles.

1. Dalal, M.K., Zave, M.A.: Automatic text classification: a technical review. Int. J. Comput. Appl. (0975–8887) 28(2), 37–40 (2011)

2. Eirinaki, M., Pisal, S., Singh, J.: Feature-based opinion mining and ranking. J. Comput. Syst. Sci. 1175–1184 (2012)

3. Horrigan, J.A.: Online Shopping (2008) http://www.pewinternet.org/2008/02/13/online-shopping/

4. http://nishithsblog.wordpress.com/2013/09/27/social-media-facts-and-statistics-for-2013/

5. http://www.academia.edu/6723240/Mining_Opinion_Features_in_Customer_Reviews

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2. The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data;2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD);2023-03-08

3. Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach;Data & Knowledge Engineering;2023-01

4. Analysis of Covid-19 News Using Text Mining Techniques;Lecture Notes in Networks and Systems;2022

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