Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
This paper discusses findings of a frame-based contrastive text analysis, using the large-scale and precise descriptions of semantic frames provided by the FrameNet project (Baker...
Tiffs work belongs to a family of research efforts, called nficrotheories and aimed at describing the static inemfing of all lexical categories in several languages in the fr,...
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....