Topic modeling over short texts by incorporating word embeddings

Jipeng Qiang; Ping Chen; Tong Wang; Xindong Wu

doi:10.1007/978-3-319-57529-2_29

Topic modeling over short texts by incorporating word embeddings

Jipeng Qiang
, Ping Chen
, Tong Wang
, Xindong Wu

Engineering

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

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings
Editors	Longbing Cao, Kyuseok Shim, Jae-Gil Lee, Jinho Kim, Yang-Sae Moon, Xuemin Lin
Publisher	Springer Verlag
Pages	363-374
Number of pages	12
ISBN (Print)	9783319575285
DOIs	https://doi.org/10.1007/978-3-319-57529-2_29
State	Published - 2017
Event	21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017 - Jeju, Korea, Republic of Duration: May 23 2017 → May 26 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10235 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017
Country/Territory	Korea, Republic of
City	Jeju
Period	5/23/17 → 5/26/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Short text
Topic modeling
Word embeddings

Access to Document

10.1007/978-3-319-57529-2_29

Cite this

Qiang, J., Chen, P., Wang, T., & Wu, X. (2017). Topic modeling over short texts by incorporating word embeddings. In L. Cao, K. Shim, J.-G. Lee, J. Kim, Y.-S. Moon, & X. Lin (Eds.), Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings (pp. 363-374). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10235 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-57529-2_29

Topic modeling over short texts by incorporating word embeddings. / Qiang, Jipeng; Chen, Ping; Wang, Tong et al.
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings. ed. / Longbing Cao; Kyuseok Shim; Jae-Gil Lee; Jinho Kim; Yang-Sae Moon; Xuemin Lin. Springer Verlag, 2017. p. 363-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10235 LNAI).

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

Qiang, J, Chen, P, Wang, T & Wu, X 2017, Topic modeling over short texts by incorporating word embeddings. in L Cao, K Shim, J-G Lee, J Kim, Y-S Moon & X Lin (eds), Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10235 LNAI, Springer Verlag, pp. 363-374, 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017, Jeju, Korea, Republic of, 5/23/17. https://doi.org/10.1007/978-3-319-57529-2_29

Qiang J, Chen P, Wang T, Wu X. Topic modeling over short texts by incorporating word embeddings. In Cao L, Shim K, Lee JG, Kim J, Moon YS, Lin X, editors, Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings. Springer Verlag. 2017. p. 363-374. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-57529-2_29

Qiang, Jipeng ; Chen, Ping ; Wang, Tong et al. / Topic modeling over short texts by incorporating word embeddings. Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings. editor / Longbing Cao ; Kyuseok Shim ; Jae-Gil Lee ; Jinho Kim ; Yang-Sae Moon ; Xuemin Lin. Springer Verlag, 2017. pp. 363-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b47fa5d2474044858ec0257af5635ea2,

title = "Topic modeling over short texts by incorporating word embeddings",

keywords = "Short text, Topic modeling, Word embeddings",

author = "Jipeng Qiang and Ping Chen and Tong Wang and Xindong Wu",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017 ; Conference date: 23-05-2017 Through 26-05-2017",

year = "2017",

doi = "10.1007/978-3-319-57529-2\_29",

language = "English",

isbn = "9783319575285",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "363--374",

editor = "Longbing Cao and Kyuseok Shim and Jae-Gil Lee and Jinho Kim and Yang-Sae Moon and Xuemin Lin",

booktitle = "Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings",

}

TY - GEN

T1 - Topic modeling over short texts by incorporating word embeddings

AU - Qiang, Jipeng

AU - Chen, Ping

AU - Wang, Tong

AU - Wu, Xindong

PY - 2017

Y1 - 2017

KW - Short text

KW - Topic modeling

KW - Word embeddings

UR - https://www.scopus.com/pages/publications/85018405896

UR - https://www.scopus.com/pages/publications/85018405896#tab=citedBy

U2 - 10.1007/978-3-319-57529-2_29

DO - 10.1007/978-3-319-57529-2_29

M3 - Conference contribution

AN - SCOPUS:85018405896

SN - 9783319575285

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 363

EP - 374

BT - Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings

A2 - Cao, Longbing

A2 - Shim, Kyuseok

A2 - Lee, Jae-Gil

A2 - Kim, Jinho

A2 - Moon, Yang-Sae

A2 - Lin, Xuemin

PB - Springer Verlag

T2 - 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017

Y2 - 23 May 2017 through 26 May 2017

ER -

Topic modeling over short texts by incorporating word embeddings

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this