Text Extraction and retrieval

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John on 24 Oct 2017
Edited: shilpa patil on 23 Sep 2019
<P ID=1>
<P ID=2>
Story about a bird,
<P ID=3>
Part 1.
As I am new to text extraction, I need help in;
  1. Writing a code to count the delimiters (</P>)
  2. Remove all punctuation
  3. Break the text into individual documents at each delimiter, knowing that ID=1 refers to document 1, ID=2 refers to document 2. etc

Accepted Answer

Akira Agata
Akira Agata on 25 Oct 2017
Just tried to make a script to do that. Here is the result (assuming the maximum ID = 10).
% Read your text file
fid = fopen('yourText.txt');
C = textscan(fid,'%s','TextType','string','Delimiter','\n','EndOfLine','\r\n');
C = C{1};
% 1. Count the delimiters '</P>'
idx = strfind(C,'</P>');
n = nnz(cellfun(@(x) ~isempty(x), idx));
% 2. Remove all punctuation
C2 = regexprep(C,'[.,!?:;]','');
% 3. Break the text into individual documents at each delimiter
idx2 = find(strcmp(C,'</P>'));
for kk = 1:10
str = ['<P ID=',num2str(kk),'>'];
idx_s = find(strcmp(C,str));
if ~isempty(idx_s)
idx_e = idx2(find(idx2>idx_s,1));
fileName = ['document',num2str(kk),'.txt'];
fid = fopen(fileName,'w');
John on 7 Nov 2017
Thanks. I am stuck running the counter.
for kk = 1:n
str = ['<p id=',num2str(kk),'>'];
idx_s = find(strcmp(C,str));
if ~isempty(idx_s)
idx_e = idx2(find(idx2>idx_s,1));
Doc=C(idx_s:idx_e); %May need to remove tags later
Doc = regexp(Doc,'[a-z0-9\-]+','match');
Doc = [Doc{:}];
Unique_Doc_count = arrayfun(@(x) nnz(strcmp(x,Doc)), Unique);
I want to search if the elements in string array 'Unique' exist in 'Doc'. I got results in 'Unique_Doc_count' as the number of their occurrences but I need just 1 or 0 values (exist) or (not exist). The aim is to loop 'kk' over multiple documents and find the number of documents that contain each word in 'Unique'. Not even number of times the word occurs, but number of documents it appears in.

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More Answers (2)

Cedric Wannaz
Cedric Wannaz on 26 Oct 2017
Here is another approach based on pattern matching:
>> data = regexp(fileread('data.txt'), '(?<=<P[^>]+>\s*)[\w ]+', 'match' )
data =
1×3 cell array
{'A LITTLE BLACK BIRD'} {'Story about a bird'} {'Part 1'}
if you don't need the IDs (e.g. if in any case they will go from 1 to the number of P tags), you are done.
If you needed the IDs, you could get both IDs and content as follows:
>> data = regexp(fileread('data.txt'), '<P ID=(\d+)>\s*([\w ]+)', 'tokens' ) ;
data = vertcat( data{:} ) ;
ids = str2double( data(:,1) )
data = data(:,2)
ids =
data =
3×1 cell array
{'Story about a bird' }
{'Part 1' }
Cedric Wannaz
Cedric Wannaz on 9 Nov 2017
If you have a count per document, finding the number of documents a keyword is in is easy:
counts = [7, 0 ,3] ;
hasKey = counts > 0 ; % [1,0,1]
nDocs = sum( hasKey ) ; % 2

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Christopher Creutzig
Christopher Creutzig on 2 Nov 2017
Edited: Christopher Creutzig on 2 Nov 2017
It's probably easiest to split the text and then check the number of splits created to count, using string functions:
str = extractFileText('file.txt');
paras = split(str,"</P>");
paras(end) = []; % the split left an empty last entry
paras = extractAfter(paras,">") % Drop the "<P ID=n>" from the beginning
Then, numel(paras) will give you the number of </P>.
If you do not have extractFileText, calling string(fileread('file.txt')) should work just fine, too.
In one of the comments, you indicated you also need to count the frequency of words in documents. That is what bagOfWords is for:
tdoc = tokenizedDocument(lower(paras));
bag = bagOfWords(tdoc)
bag =
bagOfWords with 13 words and 3 documents:
a little black bird .
1 1 1 1 1
1 0 0 1 0
shilpa patil
shilpa patil on 23 Sep 2019
how to rewrite the above code for a document image
instead of text file

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