简介
《Text data mining》 offers thorough and detailed introduction to 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 classification and text clustering. Also it presents predominant applications of text data mining, for example, topic model, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and text automatic summarization, etc.
编辑推荐
《文本数据挖掘(英文版)》面向文本挖掘任务的实际需求,通过实例从原理上对相关技术的理论方法和实现算法进行阐述,写作风格力求言简意赅,深入浅出,而不过多地涉及实现细节,尽量使读者能够在充分理解基本原理的基础上掌握应用系统的实现方法。
更多出版物信息
- 版权: 清华大学出版社
- 出版: 2021-10-01
- 更新: 2023-06-21
- 书号:9787302590293
- 中图:TP274
- 学科:工学控制科学与工程工学计算机科学与技术