S Stemming is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and natural language processing. The common goal of stemming ...
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Cross Language Information Retrieval community has brought up search engines over multilingual corpora, and multilingual text categorization systems. In this paper, we focus on th...
Web search engines exploit conjunctive queries and special ranking criteria which differ from the disjunctive queries typically used for ad-hoc retrieval. We wanted to asses the e...