Large Text Corpus Analysis and Hot Topic Discovery Based on Word Co-occurrence Network
ZHANG Hailong
GAN Wenyan
CHEN Gang
JIANG Bo
Abstract：In the domain of linguistics ,the relationship between words has a strong regularity .Using word co‐occur‐rence network for text representation can capture maximum information of text structure ,reveals its internal organization principle and rule of linguistics .In this paper ,geared to the massive military corpora of ifeng .com ,sina .com .cn and china . cn ,the word co‐occurrence network of military domain corpora is constructed ,its small‐world effect and scale‐free property are revealed ,and hot topic discovery is realized through the analysis of word frequency statistics ,node degree distribution and named entity extraction .The experimental result shows the effectiveness of related methods .
Keywords：word co-occurrence networksmall-worldscale-freehot topic discovery
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1729-1735 )