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Using Maximum Entropy for Text Classi cation - …
Using Maximum Entropy for Text Classi cationKamal La ertyyla of Computer ScienceCarnegie Mellon UniversityPittsburgh, PA 15213zJust Research4616 Henry StreetPittsburgh, PA 15213 AbstractThis paper proposes the use of Maximum en-tropy techniques for text Classi cation . Maxi-mum Entropy is a probability distribution esti-mation technique widely used for a variety ofnatural language tasks, such as language mod-eling, part-of-speech tagging, and text segmen-tation. The underlying principle of maximumentropy is that without external knowledge,one should prefer distributions that are uni-form.
Using Maximum Entropy for Text Classi cation Kamal Nigamy knigam@cs.cmu.edu John La ertyy la erty@cs.cmu.edu Andrew McCallumzy mccallum@justresearch.com
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