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Sentiment Analysis at Document Level

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

Sentiment analysis becomes a very active research area in the text mining field. It aims to extract people’s opinions, sentiments, and subjectivity from the texts. Sentiment analysis can be performed at three levels: at document level, at sentence level and at aspect level. An important part of research effort focuses on document level sentiment classification, including works on opinion classification of reviews. This survey paper tackles a comprehensive overview of the last update of sentiment analysis at document level. The main target of this survey is to give nearly full image of sentiment analysis techniques at this level. In addition, some future research issues are also presented.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Sciences, University of Oran 1 Ahmed Ben Bella, PB 1524, El M’Naouer, 31000, Oran, Algeria

    Salima Behdenna, Fatiha Barigou & Ghalem Belalem

Authors
  1. Salima Behdenna
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  2. Fatiha Barigou
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  3. Ghalem Belalem
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Corresponding author

Correspondence to Salima Behdenna .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Behdenna, S., Barigou, F., Belalem, G. (2016). Sentiment Analysis at Document Level. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_20

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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