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Survey on Sentiment Analysis Methods for Reputation Evaluation

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

Abstract

Sentiment Analysis gathered huge attention in recent years. In this field, sentiments are analyzed and aggregated from the text. There are certain relevant sub-areas in research. This survey mainly concentrates on aspect-level (product feature) sentiment analysis. The aspects of the products are the noun phrases of the sentences. It is necessary to identify the goal and aggregate sentiments on entities in order to find the aspects of the entities. The detailed overview of study is given in such a way that the incredible evolution was already made in finding the target corresponding to the sentiment. The recent solutions are based on the aspect detection and extraction. In a detailed study, a performance report and evaluation related to the data sets are mentioned. In a variety of existing methods, an attempt is made to use the shared data values to standardize the evaluation methodology. The future research is in the direction of sentiment analysis which mainly concentrates on aspect centric reputation of online products.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Engineering, ACE Engineering College, Hyderabad, India

    P. Chiranjeevi

  2. Department of Computer Science and Engineering, GITAM University, Hyderabad, India

    D. Teja Santosh

  3. Department of Computer Science and Engineering, JNTUHCEJ, Nachupally, Karimnagar, India

    B. Vishnuvardhan

Authors
  1. P. Chiranjeevi
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  2. D. Teja Santosh
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  3. B. Vishnuvardhan
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Corresponding author

Correspondence to P. Chiranjeevi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

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Chiranjeevi, P., Teja Santosh, D., Vishnuvardhan, B. (2019). Survey on Sentiment Analysis Methods for Reputation Evaluation. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_6

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