Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions.
In: PeerJ Computer Science, Jg. 7 (2021-08-11), S. e677
Online
academicJournal
Zugriff:
Titel: |
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions.
|
---|---|
Autor/in / Beteiligte Person: | Wahid, Junaid Abdul ; Shi, Lei ; Gao, Yufei ; Yang, Bei ; Tao, Yongcai ; Wei, Lin ; Hussain, Shabir |
Link: | |
Zeitschrift: | PeerJ Computer Science, Jg. 7 (2021-08-11), S. e677 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 2376-5992 (print) |
DOI: | 10.7717/peerj-cs.677 |
Sonstiges: |
|