Online inference of topics : Implementation of the topic model Latent Dirichlet Allocation using an online variational bayes inference algorithm to sort news articles
The client of the project has problems with complex queries and noisewhen querying their stream of five million news articles per day. Thisresults in much manual work when sorting and pruning the search result of their query. Instead of using direct text matching, the approachof the project was to us...
Main Authors: | , |
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Format: | Others |
Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2014
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-222429 |