Social media corporate user identification using text classification

Zhishen Yang; Jacek Wołkowicz; Vlado Kešelj

doi:10.1007/978-3-319-06483-3_39

Social media corporate user identification using text classification

Zhishen Yang, Jacek Wołkowicz, Vlado Kešelj

Chemical Engineering

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

1 Citation (Scopus)

Original language	English
Title of host publication	Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings
Publisher	Springer Verlag
Pages	363-368
Number of pages	6
ISBN (Print)	9783319064826
DOIs	https://doi.org/10.1007/978-3-319-06483-3_39
Publication status	Published - 2014
Event	27th Canadian Conference on Artificial Intelligence, AI 2014 - Montreal, QC, Canada Duration: May 6 2014 → May 9 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8436 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	27th Canadian Conference on Artificial Intelligence, AI 2014
Country/Territory	Canada
City	Montreal, QC
Period	5/6/14 → 5/9/14

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-06483-3_39

Cite this

Yang, Z., Wołkowicz, J., & Kešelj, V. (2014). Social media corporate user identification using text classification. In Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings (pp. 363-368). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8436 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-06483-3_39

Social media corporate user identification using text classification. / Yang, Zhishen; Wołkowicz, Jacek; Kešelj, Vlado.
Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings. Springer Verlag, 2014. p. 363-368 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8436 LNAI).

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

Yang, Z, Wołkowicz, J & Kešelj, V 2014, Social media corporate user identification using text classification. in Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8436 LNAI, Springer Verlag, pp. 363-368, 27th Canadian Conference on Artificial Intelligence, AI 2014, Montreal, QC, Canada, 5/6/14. https://doi.org/10.1007/978-3-319-06483-3_39

Yang Z, Wołkowicz J, Kešelj V. Social media corporate user identification using text classification. In Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings. Springer Verlag. 2014. p. 363-368. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-06483-3_39

Yang, Zhishen ; Wołkowicz, Jacek ; Kešelj, Vlado. / Social media corporate user identification using text classification. Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Proceedings. Springer Verlag, 2014. pp. 363-368 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Social media corporate user identification using text classification

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ASJC Scopus Subject Areas

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