Open AccessUser Intent Identification from Online Discussions Using a Joint Aspect-Action Topic Model
Author(s) -
Ghasem Heyrani Nobari,
Chua Tat-Seng
Publication year - 2014
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v28i1.8910
Subject(s) - computer science , generative grammar , flexibility (engineering) , generative model , identification (biology) , thread (computing) , topic model , action (physics) , artificial intelligence , data science , information retrieval , world wide web , statistics , botany , physics , mathematics , quantum mechanics , biology , operating system
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