Topic discovery from heterogeneous texts

Jipeng Qiang; Ping Chen; Wei Ding; Tong Wang; Fei Xie; Xindong Wu

doi:10.1109/ICTAI.2016.36

Topic discovery from heterogeneous texts

Jipeng Qiang
, Ping Chen
, Wei Ding
, Tong Wang
, Fei Xie
, Xindong Wu

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

Original language	English
Title of host publication	Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016
Editors	Anna Esposito, Miltos Alamaniotis, Amol Mali, Nikolaos Bourbakis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	196-203
Number of pages	8
ISBN (Electronic)	9781509044597
DOIs	https://doi.org/10.1109/ICTAI.2016.36
State	Published - Jan 11 2017
Event	28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016 - San Jose, United States Duration: Nov 6 2016 → Nov 8 2016

Publication series

Name	Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016

Conference

Conference	28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016
Country/Territory	United States
City	San Jose
Period	11/6/16 → 11/8/16

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications

Keywords

Collapsed gibbs sampling
Heterogeneous texts
LDA
Topic model

Access to Document

10.1109/ICTAI.2016.36

Cite this

Qiang, J., Chen, P., Ding, W., Wang, T., Xie, F., & Wu, X. (2017). Topic discovery from heterogeneous texts. In A. Esposito, M. Alamaniotis, A. Mali, & N. Bourbakis (Eds.), Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 (pp. 196-203). Article 7814599 (Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTAI.2016.36

Topic discovery from heterogeneous texts. / Qiang, Jipeng; Chen, Ping ; Ding, Wei et al.
Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016. ed. / Anna Esposito; Miltos Alamaniotis; Amol Mali; Nikolaos Bourbakis. Institute of Electrical and Electronics Engineers Inc., 2017. p. 196-203 7814599 (Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016).

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

Qiang, J, Chen, P , Ding, W, Wang, T, Xie, F & Wu, X 2017, Topic discovery from heterogeneous texts. in A Esposito, M Alamaniotis, A Mali & N Bourbakis (eds), Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016., 7814599, Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 196-203, 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016, San Jose, United States, 11/6/16. https://doi.org/10.1109/ICTAI.2016.36

Qiang J, Chen P , Ding W, Wang T, Xie F, Wu X. Topic discovery from heterogeneous texts. In Esposito A, Alamaniotis M, Mali A, Bourbakis N, editors, Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 196-203. 7814599. (Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016). doi: 10.1109/ICTAI.2016.36

Qiang, Jipeng ; Chen, Ping ; Ding, Wei et al. / Topic discovery from heterogeneous texts. Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016. editor / Anna Esposito ; Miltos Alamaniotis ; Amol Mali ; Nikolaos Bourbakis. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 196-203 (Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016).

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title = "Topic discovery from heterogeneous texts",

keywords = "Collapsed gibbs sampling, Heterogeneous texts, LDA, Topic model",

author = "Jipeng Qiang and Ping Chen and Wei Ding and Tong Wang and Fei Xie and Xindong Wu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016 ; Conference date: 06-11-2016 Through 08-11-2016",

year = "2017",

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Topic discovery from heterogeneous texts

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ASJC Scopus Subject Areas

Keywords

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