Extracting actions with improved part of speech tagging for social networking texts

Ameni Youssfi Nouira, Yassine Jamoussi, Henda Ben Ghezela Hajjami

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

1 Citation (Scopus)

Abstract

With the growing interests in social networking, the interaction of social actors evolved to a source of knowledge in which it become possible to perform context aware reasoning. The information extraction from social networking specially Twitter and Facebook is on of the problem in this area. To extract text from social networking, we need several lexical features and large scale word clustering. We attempt to expand existing tokenizer and to develop our own tagger in order to support the incorrect words currently in existence in Facebook and Twitter. Our goal in this work is to benefit of the lexical features developed for Twitter and online conversational text in previous works, to design and to develop an extraction model for constructing a huge knowledge based on actions.

Original languageEnglish
Title of host publicationProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-166
Number of pages6
ISBN (Electronic)9781509043149
DOIs
Publication statusPublished - Mar 10 2017
Event16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
Duration: Dec 7 2016Dec 10 2016

Other

Other16th IEEE International Conference on Computer and Information Technology, CIT 2016
CountryFiji
CityNadi
Period12/7/1612/10/16

Keywords

  • Information extraction
  • Natural language processing
  • Part-of-speech tagging
  • Social networking

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

Cite this

Nouira, A. Y., Jamoussi, Y., & Hajjami, H. B. G. (2017). Extracting actions with improved part of speech tagging for social networking texts. In Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016 (pp. 161-166). [7876332] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT.2016.109