@article{1440712,
      recid = {1440712},
      author = {Banchs, Rafael E.,},
      title = {Text mining with MATLAB® /},
      pages = {1 online resource (xii, 475 pages) :},
      abstract = {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. The book is structured in three main parts:  The first part, Fundamentals, introduces basic procedures  and methods for manipulating and operating with text within  the MATLAB programming environment. The second part of the  book, Mathematical Models, is devoted to motivating,  introducing, and explaining the two main paradigms of  mathematical models most commonly used for representing  text data: the statistical and the geometrical approach.  Eventually, the third part of the book, Techniques and  Applications, addresses general problems in text mining and  natural language processing applications such as document  categorization, document search, content analysis,  summarization, question answering, and conversational  systems. This second edition includes updates in line with  the recently released "Text Analytics Toolbox" within the  MATLAB product and introduces three new chapters and six  new sections in existing ones. 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},
      url = {http://library.usi.edu/record/1440712},
      doi = {https://doi.org/10.1007/978-3-030-87695-1},
}