Anchor-based Topic Modeling with Human Interpretable Results
Topic models are useful tools for exploring large data sets of textual content by exposing a generative process from which the text was produced. Anchor-based topic models utilize the anchor word assumption to define a set of algorithms with provable guarantees which recover the underlying topics wi...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Interaktiva och kognitiva system
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168134 |