Text Mining with MATLAB® provides a comprehensive introduction to text mining using MATLAB. It is 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.
Rafael E. Banchs is a senior data science manger with more than 25 years of experience in signal processing, data science and text mining applications. Rafael has a similar number of years of practical experience using the MATLAB® product and have completed multiple projects and developed applications with it. He received a PhD in Electrical Engineering from The University of Texas at Austin in 1998 and has published several papers in peer-reviewed Journals and International Conferences.
Innehållsförteckning
1. Introduction.- PART I: FUNDAMENTALS.- 2. Handling Text Data.- 3. Regular Expressions.- 4. Basic Operations with Strings.- 5. Reading and Writing Files.- 6. The Structure of Language.- PART II: MATHEMATICAL MODELS.- 7. Basic Corpus Statistics.- 8. Statistical Models.- 9. Geometrical Models.- 10. Dimensionality Reduction.- PART III: METHODS AND APPLICATIONS.- 11. Document Categorization.- 12. Document Search.- 13. Content Analysis.- 14. Keyword Extraction and Summarization.- 15. Question Answering and Dialogue.