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    <blockquote> <p>Just to answer one of the comment. I am more interested in Text Information Extraction.</p> </blockquote> <p>Depending on the nature of your project, <a href="http://en.wikipedia.org/wiki/Natural_language_processing" rel="noreferrer">Natural language processing</a>, and <a href="http://en.wikipedia.org/wiki/Computational_linguistics" rel="noreferrer">Computational linguistics</a> can both come in handy -they provide tools to measure, and extract features from textual information, and apply training, scoring, or classification. Good introductionary books include <a href="http://rads.stackoverflow.com/amzn/click/0596529325" rel="noreferrer">OReilly's Programming Collective Intelligence</a> (chapters on "searching, and ranking", Document filtering, and maybe decision trees).</p> <p>Suggested projects utilizing this knowledge: POS (part-of-speech) tagging, and named entity recognition (ability to recognize names, places, and dates from plain text). You can use Wikipedia as a training corpus, since most of the target information is already extracted in infoboxes -this might provide you with some limited amount of measurement feedback.</p> <p>The other big hammer in IE is search, a field not to be underestimated. Again, OReilly's book provides some introduction in basic ranking; once you have a large corpus of indexed text, you can do some really IE tasks with it. Check out <a href="http://www.youtube.com/watch?v=nU8DcBF-qo4" rel="noreferrer">Peter Norvig: Theorizing from data</a> as a starting point, and very good motivator -maybe you could reimplement some of their results as a learning exercise.</p> <p>As a fore-warning, I think I'm obligated to tell you, that information extraction is <em>hard</em>. The first 80% of any given task are usually trivial; however, the difficulty of each additional percentage for IE tasks are usually growing exponentially -in development, and research time. It's also quite underdocumented -most of the high quality info is currently in obscure white papers (<a href="http://scholar.google.com/" rel="noreferrer">Google scholar</a> is your friend) -do check them out once you've got your hand burned a couple of times. But most importantly, do not let these obstacles throw you off -there are certainly big opportunities to make progress in this area.</p>
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