http://laughingmeme.org/2003/07/28/text-summarization/ Just another WordPress weblog Fri, 18 May 2012 17:48:27 +0000 hourly 1 http://wordpress.org/?v=3.3.1 http://laughingmeme.org/2003/07/28/text-summarization/comment-page-1/#comment-1362246 Girma Sat, 25 Feb 2012 13:33:30 +0000 http://lm.quxx.info/?p=531#comment-1362246 <p>Hi there , Open text summarizer is a available in C . It is architecture is not mentioned , can any one help me in accessing its documentation or any academic publication on it .</p> Hi there , Open text summarizer is a available in C . It is architecture is not mentioned , can any one help me in accessing its documentation or any academic publication on it .

]]> http://laughingmeme.org/2003/07/28/text-summarization/comment-page-1/#comment-793654 akanksha Tue, 06 Oct 2009 15:54:29 +0000 http://lm.quxx.info/?p=531#comment-793654 <p>helloo....even m doin a project in text summarisation....kindly help me with the algorithms or codes if u can....thank u</p> helloo….even m doin a project in text summarisation….kindly help me with the algorithms or codes if u can….thank u

]]> http://laughingmeme.org/2003/07/28/text-summarization/comment-page-1/#comment-602301 jitendra bansal Sat, 08 Nov 2008 14:31:05 +0000 http://lm.quxx.info/?p=531#comment-602301 <p>hello, i am doing project on automatic text summarization.Can you send me some good algorithem code which gives meaningful summary.if u can send me code of summarization algorithem than please send me. thank you.</p> hello, i am doing project on automatic text summarization.Can you send me some good algorithem code which gives meaningful summary.if u can send me code of summarization algorithem than please send me. thank you.

]]> http://laughingmeme.org/2003/07/28/text-summarization/comment-page-1/#comment-54387 » Blog Archive » Debian Package of the Day: OTS: Command line text auto-summary Thu, 07 Jun 2007 13:54:59 +0000 http://lm.quxx.info/?p=531#comment-54387 <p>[...] Open Text Summarizer is both a library and a command line tool (developed by Nadav Rotem) that, well, summarises text. It is similar to the functionality incorporated into Microsoft Word and available in all native Mac OS X applications. The approach taken by OTS is to use word frequency to prepare a list of keywords and assign priority to sentences based on that frequency. It then outputs a summarised version of your text based on a ratio you supply —the default is 20%, i.e. the summary will be one-fifth the size of the original in terms of number of sentences. An automated process like this can never be perfect, and some texts are more amenable to auto-summarising than others. The reliance on sentences means that a well structured prose text works best, and that it should be somewhat substantial to produce meaning. Auto-summaries can be used as a basis for abstracts or catalogue descriptions, for article summaries in RSS feeds, or for checking keyword frequency for Search Engine Optimisation. Shorter texts, lists, and internally incoherent or structurally inconsistent texts will tend to produce gibberish —which can have its own amusement value. While the performance of OTS may not quite be up to the standards of proprietary alternatives (see this 2003 review), it is —as far as I was able to determine— the only available free or open source (specifically GPL) library for this purpose. [...]</p> [...] Open Text Summarizer is both a library and a command line tool (developed by Nadav Rotem) that, well, summarises text. It is similar to the functionality incorporated into Microsoft Word and available in all native Mac OS X applications. The approach taken by OTS is to use word frequency to prepare a list of keywords and assign priority to sentences based on that frequency. It then outputs a summarised version of your text based on a ratio you supply —the default is 20%, i.e. the summary will be one-fifth the size of the original in terms of number of sentences. An automated process like this can never be perfect, and some texts are more amenable to auto-summarising than others. The reliance on sentences means that a well structured prose text works best, and that it should be somewhat substantial to produce meaning. Auto-summaries can be used as a basis for abstracts or catalogue descriptions, for article summaries in RSS feeds, or for checking keyword frequency for Search Engine Optimisation. Shorter texts, lists, and internally incoherent or structurally inconsistent texts will tend to produce gibberish —which can have its own amusement value. While the performance of OTS may not quite be up to the standards of proprietary alternatives (see this 2003 review), it is —as far as I was able to determine— the only available free or open source (specifically GPL) library for this purpose. [...]

]]>