text-extraction

I want to extract text from pdf file using only Javascript in the client side without using the server. I've already found a javascript code in the following link: extract text from pdf in Javascript and then in http://hublog.hubmed.org/archives/001948.html and in: https://github.com/hubgit/hubgit.github.com/tree/master/2011/11/pdftotext 1) I want please to know what are the files which are necessary for these extraction from the previous ones. 2) I don't know exactly how to adapt these codes in an application, not in the web. Any answer is welcome. Thank you. here is a nice example of how to

I have fitted a CountVectorizer to some documents in scikit-learn . I would like to see all the terms and their corresponding frequency in the text corpus, in order to select stop-words. For example 'and' 123 times, 'to' 100 times, 'for' 90 times, ... and so on Is there any built-in function for this? If cv is your CountVectorizer and X is the vectorized corpus, then zip(cv.get_feature_names(), np.asarray(X.sum(axis=0)).ravel()) returns a list of (term, frequency) pairs for each distinct term in the corpus that the CountVectorizer extracted. (The little asarray + ravel dance is needed to work

Is there a possibility to extract plain text from a PDF-File with PdfSharp? I don't want to use iTextSharp because of its license. Took Sergio's answer and made some extension methods. I also changed the accumulation of strings into an iterator. public static class PdfSharpExtensions { public static IEnumerable<string> ExtractText(this PdfPage page) { var content = ContentReader.ReadContent(page); var text = content.ExtractText(); return text; } public static IEnumerable<string> ExtractText(this CObject cObject) { if (cObject is COperator) { var cOperator = cObject as COperator; if (cOperator

I need to extract text from pdf files using iText. The problem is: some pdf files contain 2 columns and when I extract text I get a text file where columns are merged as the result (i.e. text from both columns in the same line) this is the code: public class pdf { private static String INPUTFILE = "http://www.revuemedecinetropicale.com/TAP_519-522_-_AO_07151GT_Rasoamananjara__ao.pdf" ; private static String OUTPUTFILE = "c:/new3.pdf"; public static void main(String[] args) throws DocumentException, IOException { Document document = new Document(); PdfWriter writer = PdfWriter.getInstance

I'd like a reg exp which can take a block of string, and find the strings matching the format: <a href="mailto:x@x.com">....</a> And for all strings which match this format, it will extract out the email address found after the mailto: . Any thoughts? This is needed for an internal app and not for any spammer purposes! If you want to match the whole thing from : $r = '`\<a([^>]+)href\=\"mailto\:([^">]+)\"([^>]*)\>(.*?)\<\/a\>`ism'; preg_match_all($r,$html, $matches, PREG_SET_ORDER); To fastern and shortern it: $r = '`\<a([^>]+)href\=\"mailto\:([^">]+)\"([^>]*)\>`ism'; preg_match_all($r,$html,

Sample: case Foo: ... break; case Bar: ... break; case More: case Complex: ... break: ... I'd like to retrieve all the regex matches (the whole matching text, or even better, the part between \( and \) ) of the RegEx case \([^:]*\): which should give something like (in a new new file): Foo Bar More Complex ... Another example of use case would be the extraction of some parts, likes images URLs, from an HTML file. Is there a simple way to graph all RegEx matches and put them in a buffer in Vim ? Note: It's similar to extract text using vim however I'm interested also in removing lines that don

I have a series of text items- raw HTML from a MySQL database. I want to find the most common phrases in these entries (not the single most common phrase, and ideally, not enforcing word-for-word matching). My example is any review on Yelp.com, that shows 3 snippets from hundreds of reviews of a given restaurant, in the format: "Try the hamburger" (in 44 reviews) e.g., the "Review Highlights" section of this page: http://www.yelp.com/biz/sushi-gen-los-angeles/ I have NLTK installed and I've played around with it a bit, but am honestly overwhelmed by the options. This seems like a rather common