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Sentiment Classification Using Recurrent Neural Network

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Abstract

Sentiment basically represents a person’s attitude, expressing thoughts or an expression triggered by a feeling. Sentiment analysis is the study of sentiments on a given piece of text. Users can express their sentiment/thoughts on internet which may have impact on the user reading it [7]. This expressed sentiment are usually available in unstructured format which needs to be converted. Sentiment analysis is referred to as organizing text into a structured format [7]. The challenge for sentiment analysis is insufficient labelled information, this can be overcome by using machine learning algorithms. Therefore, to perform sentiment analysis we have employed Deep Neural Network.

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Correspondence to Kavita Moholkar , Krupa Rathod , Krishna Rathod , Mritunjay Tomar or Shashwat Rai .

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Moholkar, K., Rathod, K., Rathod, K., Tomar, M., Rai, S. (2020). Sentiment Classification Using Recurrent Neural Network. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_49

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

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