We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...