Detecting Twitter topics using Latent Dirichlet Allocation
Latent Dirichlet Allocations is evaluated for its suitability when detecting topics in a stream of short messages limited to 140 characters. This is done by assessing its ability to model the incoming messages and its ability to classify previously unseen messages with known topics. The evaluation s...
Main Author: | |
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Format: | Others |
Language: | English |
Published: |
Uppsala universitet, Institutionen för informationsteknologi
2016
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-277260 |