D. Salami
Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran.
[ 1 ] - A Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
نویسندگان همکار