Synsets improve short text clustering for search support: combining LDA and WordNet

In this study, I proposed a short text clustering approach with WordNet as the external resources to cluster documents from corpus.byu.edu. Experimental results show that our approach largely improved the clustering performance. The factors that have an influence on the performance of the topic model are the total number of documents, Synsets distribution among topics and words overlapping between the query’s Synsets. In addition, the performance will also be influenced by the missing Synset in WordNet. Finally, we provide an idea of using clustering approaches generating ranked query suggestion to disambiguate the query. Combining with Synsets of the query, text document clustering can provide an effective way to disambiguate user search query by organizing a large set of searching results into a small number of groups labeled with Synsets from WordNet.Master of Science in Information Scienc