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Towards Sentiment and Emotion Analysis of User Feedback for Digital Libraries

  • Stefano FerilliEmail author
  • Berardina De Carolis
  • Domenico Redavid
  • Floriana Esposito
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 701)

Abstract

The possibility for people to leave comments in blogs and forums on the Internet allows to study their attitude (in terms of valence or even of specific feelings) on various topics. For some digital libraries this may be a precious opportunity to understand how their content is perceived by their users and, as a consequence, to suitably direct their future strategic choices. So, libraries might want to enrich their sites with the possibility, for their users, to provide feedback on the items they have consulted. Of course, manually analyzing all the available comments would be infeasible. Sentiment Analysis, Opinion Mining and Emotion Analysis denote the area of research in Computer Science aimed at automatically analyzing and classifying text documents based on the underlying opinions expressed by their authors.

Significant problems in building an automatic system for this purpose are given by the complexity of natural language, by the need of dealing with several languages, and by the choice of relevant features and of good approaches to building the models. Following the interesting results obtained for Italian by a system based on a Text Categorization approach, this paper proposes further experiments to check whether reliable predictions can be obtained, both for opinions and for feelings.

Keywords

Digital Library Opinion Mining Sentiment Analysis Sentiment Classification Opinion Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

This work was partially funded by the Italian PON 2007–2013 project PON02_00563_3489339 ‘Puglia@Service’.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Stefano Ferilli
    • 1
    Email author
  • Berardina De Carolis
    • 1
  • Domenico Redavid
    • 2
  • Floriana Esposito
    • 1
  1. 1.Dipartimento di InformaticaUniversità di BariBariItaly
  2. 2.Artificial Brain S.r.l.BariItaly

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