TY - BOOK ID - 14303454 TI - Text mining with MATLAB PY - 2013 SN - 1461441501 1489994645 9786613936240 146144151X 128362379X PB - New York, NY : Springer, DB - UniCat KW - Resampling (Statistics). KW - Data mining KW - Natural language processing (Computer science) KW - Engineering & Applied Sciences KW - Computer Science KW - Data mining. KW - MATLAB. KW - NLP (Computer science) KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - MATLAB (Computer program) KW - Matrix laboratory KW - Computer science. KW - Computer science KW - Information storage and retrieval. KW - Computer Science. KW - Data Mining and Knowledge Discovery. KW - Math Applications in Computer Science. KW - Information Storage and Retrieval. KW - Mathematics. KW - Database searching KW - Artificial intelligence KW - Electronic data processing KW - Human-computer interaction KW - Semantic computing KW - Information storage and retrieva. KW - Informatics KW - Science KW - Information storage and retrieval systems. KW - Automatic data storage KW - Automatic information retrieval KW - Automation in documentation KW - Computer-based information systems KW - Data processing systems KW - Data storage and retrieval systems KW - Discovery systems, Information KW - Information discovery systems KW - Information processing systems KW - Information retrieval systems KW - Machine data storage and retrieval KW - Mechanized information storage and retrieval systems KW - Computer systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval KW - Computer science—Mathematics. KW - MATLAB (Computer file) UR - https://www.unicat.be/uniCat?func=search&query=sysid:14303454 AB - Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation. ER -