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      <rdf:Seq>	<rdf:li rdf:resource="http://www.csie.ntu.edu.tw/~cjlin/libshorttext/"/>
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  </channel><item rdf:about="http://www.csie.ntu.edu.tw/~cjlin/libshorttext/">
    <title>LibShortText: A Library for Short-text Classification and Analysis</title>
    <dc:date>2013-03-08T13:54:22+00:00</dc:date>
    <link>http://www.csie.ntu.edu.tw/~cjlin/libshorttext/</link>
    <dc:creator>martinkenny</dc:creator><description><![CDATA["LibShortText is an open source tool for short-text classification and analysis. It can handle the classification of, for example, titles, questions, sentences, and short messages."]]></description>
<dc:subject>machine-learning text python library</dc:subject>
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    <title>Doc⚡split</title>
    <dc:date>2010-08-10T09:16:42+00:00</dc:date>
    <link>http://documentcloud.github.com/docsplit/</link>
    <dc:creator>martinkenny</dc:creator><description><![CDATA["Docsplit is a command-line utility and Ruby library for splitting apart documents into their component parts: searchable UTF-8 plain text via OCR if necessary, page images or thumbnails in any format, PDFs, single pages, and document metadata (title, author, number of pages...)"
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<dc:subject>pdf text documents text-extraction</dc:subject>
<dc:identifier>https://pinboard.in/u:martinkenny/b:df027e2a29a2/</dc:identifier>
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<item rdf:about="http://feedproxy.google.com/~r/oreilly/radar/atom/~3/AH_m5uJ-PP4/four-short-links-6-august-2010.html">
    <title>Four short links: 6 August 2010</title>
    <dc:date>2010-08-06T10:00:00+00:00</dc:date>
    <link>http://feedproxy.google.com/~r/oreilly/radar/atom/~3/AH_m5uJ-PP4/four-short-links-6-august-2010.html</link>
    <dc:creator>martinkenny</dc:creator><description><![CDATA[
AWS: Forget the Revenue, Did You See the Margins? (RedMonk) -- According to UBS, Amazon Web Services gross margins for the years 2006 through 2014 are 47%, 48%, 48%, 49%, 49%, 50%, 50.5%, 51%, 53%. (these are analyst projections, so take with grain of salt, but those are some sweet margins if they're even close to accurate)
Science Pipes -- an environment in which students, educators, citizens, resource managers, and scientists can create and share analyses and visualizations of biodiversity data. It is built to support inquiry-based learning, allowing analysis results and visualizations to be dynamically incorporated into web sites (e.g. blogs) for dissemination and consumption beyond SciencePipes.org itself. (via mikeloukides on Twitter)
ScraperWiki Source Code -- AGPL-licensed source to the ScraperWiki, a tool for data storage, cleaning, search, visualization, and export.
Doc split -- a command-line utility and Ruby library for splitting apart documents into their component parts: searchable UTF-8 plain text via OCR if necessary, page images or thumbnails in any format, PDFs, single pages, and document metadata (title, author, number of pages...)




   
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<dc:subject>amazonec2 bigdata business crowdsourcing opendata opensource science text</dc:subject>
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<item rdf:about="http://blogs.adobe.com/insidepdf/2008/07/text_content_in_pdf_files.html">
    <title>Inside PDF: Text Content in PDF Files</title>
    <dc:date>2008-10-26T12:13:26+00:00</dc:date>
    <link>http://blogs.adobe.com/insidepdf/2008/07/text_content_in_pdf_files.html</link>
    <dc:creator>martinkenny</dc:creator><description><![CDATA[To extract text from PDF documents is a rather difficult and a highly technical task and I hope to explain, here, why that is the case.
]]></description>
<dc:subject>pdf adobe informationretrieval indexing text</dc:subject>
<dc:identifier>https://pinboard.in/u:martinkenny/b:cfa0fda51801/</dc:identifier>
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