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Titel:

Topic Modeling of Short Texts Using Anchor Words

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Steuber, Florian; Schoenfeld, Mirco; Dreo Rodosek, Gabi
Abstract:
We present Archetypal LDA or short A-LDA, a topic model tailored to short texts containing semantic anchors which convey a certain meaning or implicitly build on discussions beyond their mere presence. A-LDA is an extension to Latent Dirichlet Allocation in that we guide the process of topic inference by these semantic anchors as seed words to the LDA. We identify these seed words unsupervised from the documents and evaluate their co-occurrences using archetypal analysis, a geometric approximati...     »
Kongress- / Buchtitel:
10th ACM International Conference on Web Intelligence, Mining and Semantics (WIMS)
Verlagsort:
Biarritz, France
Jahr:
2020
Monat:
Jul
Sprache:
en
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