✦ LIBER ✦

Non-Independent term selection for Chinese text categorization

✍ Scribed by Li, Jingyang; Sun, Maosong

Book ID: 108485125
Publisher: Bioline International
Year: 2009
Tongue: English
Weight: 379 KB
Volume: 14
Category: Article
ISSN: 1007-0214
DOI: 10.1016/s1007-0214(09)70016-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Improving linear classifier for Chinese

Improving linear classifier for Chinese text categorization

✍ Jyh-Jong Tsay; Jing-Doo Wang 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 348 KB

Best terms: an efficient feature-selecti

Best terms: an efficient feature-selection algorithm for text categorization

✍ Dimitris Fragoudis; Dimitris Meretakis; Spiridon Likothanassis 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 755 KB

t-Test feature selection approach based

t-Test feature selection approach based on term frequency for text categorization

✍ Wang, Deqing; Zhang, Hui; Liu, Rui; Lv, Weifeng; Wang, Datao 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 787 KB

Ranking and selecting terms for text cat

Ranking and selecting terms for text categorization via SVM discriminate boundary

✍ Tien-Fang Kuo; Yasutoshi Yajima 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 298 KB

The problem of natural language document categorization consists of classifying documents into predetermined categories based on their contents. Each distinct term, or word, in the documents is a feature for representing a document. In general, the number of terms may be extremely large and the doze

A new approach of feature selection for

A new approach of feature selection for text categorization

✍ Cui Zifeng; Xu Baowen; Zhang Weifeng; Xu Junling 📂 Article 📅 2006 🏛 Wuhan University 🌐 English ⚖ 508 KB

A two-stage feature selection method for

A two-stage feature selection method for text categorization

✍ Jiana Meng; Hongfei Lin; Yuhai Yu 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 300 KB