The huge growth in digital libraries, WWW (world wide web) and other text resources has created t... more The huge growth in digital libraries, WWW (world wide web) and other text resources has created the demand of techniques which can work intelligently on limited linguistic resources and fulfills the growing demand of text analysis, pattern discovery and information management related operations. The graph based automated text analysis and text mining methods have received a great deal of attention in solving these issues. Actually, an important aspect of graph-based method is that it does not require deep linguistic knowledge, nor domain or language specific annotated corpora, which makes it highly portable to other domains, genres, or languages. The development of advanced graph theoretical techniques for social media mining has also enriched this area. However, the development of effective core techniques to mine the information, from text document(s) by using limited linguistic resources is a challenging task of significant interest. Still sincere attentions for improvements in a...
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Papers by niraj kumar