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Showing 1 to 5 of 5 for “"probabilistic topic models"”.
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LDA based approach for predicting friendship links in live journal social network
… friendship link prediction problem and study a topic modeling approach to this problem. Topic models are among the most effective approaches to latent topic analysis and mining of text data. In particular, Probabilistic Topic models are based upon the idea that documents can be seen as mixtures …
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Probabilistic Graphical Modeling on Big Data
… ignored and buried. For the past 10 years, probabilistic topic modeling has been recognized as an effective machine learning algorithm to annotate the hidden thematic structure of massive collection of documents. The analogy between text corpus and large-scale genomic data enables the …
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Information filtering by multiple examples
… are treated as being relevant to a single topic to build the query vector, but it is often the case that they belong to multiple topics. New methods are needed to deal with such a topic diversity issue. Furthermore, there are many PU learning algorithms available, but it is still unknown …
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Contextual text mining
… authors. Many applications require analysis of topic patterns over different contexts. For instance, analysis of search logs in the context of the user can reveal how we can improve the quality of a search engine by optimizing the search results according to particular users; analysis of …
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A Pointillism Approach for Natural Language Processing of Social Media
… or other larger constructs are in terms of the topics discussed. Social media is very challenging for natural language processing because it challenges the notion of a word. Social media users regularly use words that are not in even the most comprehensive lexicons. These new words can be …