University of Hertfordshire

By the same authors

Sentiment analysis for the Greek language

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Nikolaos Spatiotis
  • Iosif Mporas
  • Michael Paraskevas
  • Isidoros Perikos
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Original languageEnglish
Title of host publicationPCI 2016 - 20th Pan-Hellenic Conference on Informatics
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450347891
Publication statusPublished - 10 Nov 2016
Event20th Pan-Hellenic Conference on Informatics, PCI 2016 - Patra, Greece
Duration: 10 Nov 201612 Nov 2016

Publication series

NameACM International Conference Proceeding Series


Conference20th Pan-Hellenic Conference on Informatics, PCI 2016


In recent years, the rapid development of technology has invaded dynamically in all areas of human activity by facilitating communication, information and interaction between people worldwide through Internet useternet users are no longer passive recipients of information, but new information data creators expressing ideas, opinions, feelings or their views on a service-product. Taking into account the evolution and use of mobile devices and the proliferation of wireless networks, the timely and widespread use of social networks and services satisfying the above uses are understandable this paper, we present an approach to analyze textual data in Greek language and extract meaningful information regarding the writer's opinion. More specifically, we present a supervised approach which classifies user generated comments into the proper polarity category. An extensive experimental study was conducted in the context of users' attitudes and opinions on e-lectures that they attended. The results were very promising, indicating that the approach was accurate and able to correctly classify opinions into the proper category.

ID: 19523551