内容提要 《Text data mining》 offers thorough and detailed introductioto the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation, feature selection, to text classificatioand text clustering. Also it presents predominant applications of text data mining, for example, topic model, sentiment analysis and opiniomining, topic detectioand tracking, informatioextraction, and text automatic summarization, etc. 目录
作者介绍 Chengqing Zong is professor at the National Laboratory of PatterRecognitio(NLPR), Institute of Automation, Chinese Academy of Sciences. He serves as chairs for many prestigious conferences such as ACL-IJCNLP, IJCAI, IJCAI-ECAI, AAAI and COLING, c., and served as associate editors for prestigious journals such as TALLIP, Machine Translation, c. He is the President of AsiaFederatiooNatural Language Processing and a member of International Committee oComputational Linguistics. 序言
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