%0 Journal Article %1 journals/program/LuZD21 %A Lu, Heng-Yang %A Zhang, Yi %A Du, Yuntao %D 2021 %J Data Technol. Appl. %K dblp %N 5 %P 643-660 %T SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. %U http://dblp.uni-trier.de/db/journals/program/program55.html#LuZD21 %V 55

@article{journals/program/LuZD21, added-at = {2022-02-10T00:00:00.000+0100}, author = {Lu, Heng-Yang and Zhang, Yi and Du, Yuntao}, biburl = {https://www.bibsonomy.org/bibtex/295970dbe02366e6be43a2745fb51d2bd/dblp}, ee = {https://doi.org/10.1108/DTA-02-2021-0039}, interhash = {a4ebd82a4c978f1392a81e0c51ace67f}, intrahash = {95970dbe02366e6be43a2745fb51d2bd}, journal = {Data Technol. Appl.}, keywords = {dblp}, number = 5, pages = {643-660}, timestamp = {2024-04-08T20:29:23.000+0200}, title = {SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.}, url = {http://dblp.uni-trier.de/db/journals/program/program55.html#LuZD21}, volume = 55, year = 2021 }