Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics
2018 37th International Conference of the Chilean Computer Science Society (SCCC), pp. 1-7, 2018.
Latent Dirichlet Allocation (LDA) is a fundamental method in the text mining field. We propose strategies for topic and model selection based on LDA that exploits the semantic coherence of the topics inferred, boosting the quality of the models found. Then we study how our boosted topic models perform in ad-hoc information retrieval tasks...More
Full Text (Upload PDF)
PPT (Upload PPT)