By Rafael E. Banchs
Textual content Mining with MATLAB presents a finished creation to textual content mining utilizing MATLAB. It’s designed to assist textual content mining practitioners, in addition to people with little-to-no adventure with textual content mining regularly, familiarize themselves with MATLAB and its advanced functions. the 1st half offers an advent to easy systems for dealing with and working with textual content strings. Then, it stories significant mathematical modeling methods. Statistical and geometrical versions also are defined in addition to major dimensionality aid tools. ultimately, it provides a few particular functions comparable to rfile clustering, class, seek and terminology extraction. All descriptions provided are supported with sensible examples which are absolutely reproducible. extra analyzing, in addition to extra workouts and tasks, are proposed on the finish of every bankruptcy for these readers drawn to engaging in additional experimentation.
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In general, struct2cell will map any N 9 M structure array of K fields into a K 9 N 9 M cell array. 18b), function fieldnames should be used if we are also interested in retrieving the field names in the structure. In this case, the structure’s field names are retrieved within a one-dimensional cell array of strings. 17). 18a); in this case, this parameter must be 1). 4 Some Useful Functions After having seen the most fundamental issues related to handling textual data, and before moving forward to more advanced procedures and techniques, we will devote this section to present an overview of the most common MATLABÒ builtin functions for handling and operating with text strings, as well as some other general functions that are worth to be known.
3. Finally, Sect. 1 Basic Operators for Matching Characters The basic MATLABÒ built in function for matching regular expressions is the function regexp. This function allows for matching a regular expression in a given string of text. ) ð3:1Þ where expression is the regular expression that is to be matched within the text string string, and parameter# is a qualifying argument that determines the kind of output out# that should be returned. regexp admits up to six different types of qualifying arguments that can be used individually or in combination: ’match’, ’start’, ’end’, ’tokens’, ’names’ and ’tokenExtents’.
25 r = ð2:24aÞ 25 >> s = input('What is your name? ','s') % prompts for an input string What is your name? 7a) name age mark 35 beth 26 peter 39 ð2:25Þ Finally, functions inputdlg, questdlg and msgbox allow for collecting inputs and displaying information by means of interactive dialog and message boxes. In the case of inputdlg, the entered information is returned into a cell array; while in the case of questdlg, the selected option is returned in a string. The function msgbox, by default, does not halt the execution of the current program.