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

Ameni Youssfi Nouira; Yassine Jamoussi; Henda Ben Ghezela Hajjami

doi:10.1109/CIT.2016.109

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

Ameni Youssfi Nouira, Yassine Jamoussi, Henda Ben Ghezela Hajjami

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	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
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	161-166
Number of pages	6
ISBN (Electronic)	9781509043149
DOIs	https://doi.org/10.1109/CIT.2016.109
Publication status	Published - Mar 10 2017
Event	16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji Duration: Dec 7 2016 → Dec 10 2016

Other

Other	16th IEEE International Conference on Computer and Information Technology, CIT 2016
Country/Territory	Fiji
City	Nadi
Period	12/7/16 → 12/10/16

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

Access to Document

10.1109/CIT.2016.109

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

Extracting actions with improved part of speech tagging for social networking texts. / Nouira, Ameni Youssfi; Jamoussi, Yassine; Hajjami, Henda Ben Ghezela.

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. Institute of Electrical and Electronics Engineers Inc., 2017. p. 161-166 7876332.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nouira, AY, Jamoussi, Y & Hajjami, HBG 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., 7876332, Institute of Electrical and Electronics Engineers Inc., pp. 161-166, 16th IEEE International Conference on Computer and Information Technology, CIT 2016, Nadi, Fiji, 12/7/16. https://doi.org/10.1109/CIT.2016.109

Nouira AY, Jamoussi Y, Hajjami HBG. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 161-166. 7876332 https://doi.org/10.1109/CIT.2016.109

Nouira, Ameni Youssfi ; Jamoussi, Yassine ; Hajjami, Henda Ben Ghezela. / Extracting actions with improved part of speech tagging for social networking texts. 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. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 161-166

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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.",

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

Abstract

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Keywords

ASJC Scopus subject areas

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