Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis.

Junaid Rashid|Jungeun Kim|Usman Naseem


Anthology ID:DBLP:conf/www/RashidKN23a
Volume:Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
Year:2023
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:73-76
URL:https://doi.org/10.1145/3543873.3587316
DOI:https://doi.org/10.1145/3543873.3587316
DBLP:conf/www/RashidKN23a
BibTeX:
@inproceedings{rashid-2023-incorporating, author = {Junaid Rashid and Jungeun Kim and Usman Naseem}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis}}, booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {73--76}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543873.3587316}, doi = {https://doi.org/10.1145/3543873.3587316} }