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  About site: http://www.cs.cmu.edu/~mccallum/bow/

Title: Artificial Intelligence/Machine Learning/Software - Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering A library of C code useful for writing statistical text analysis, language modeling, and information retrieval programs. The current distribution includes the library, as well as front-ends for docume
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The `Bow' Toolkit

Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering

Bow (or libbow) is a library of C code useful forwriting statistical text analysis, language modeling and informationretrieval programs. The current distribution includes the library, aswell as front-ends for document classification (rainbow),document retrieval (arrow) and document clustering(crossbow). The library and its front-ends were designed and written by Andrew McCallum, with somecontributions from several graduateand undergraduate students. The name of the library rhymes with `low', not `cow'.About the library The library provides facilities for: Recursively descending directories, finding text files. Finding `document' boundaries when there are multiple documents per file. Tokenizing a text file, according to several different methods. Including N-grams among the tokens. Mapping strings to integers and back again, very efficiently. Building a sparse matrix of document/token counts. Pruning vocabulary by word counts or by information gain. Building and manipulating word vectors. Setting word vector weights according to Naive Bayes, TFIDF, and several other methods. Smoothing word probabilities according to Laplace (Dirichlet uniform), M-estimates, Witten-Bell, and Good-Turning. Scoring queries for retrieval or classification. Writing all data structures to disk in a compact format. Reading the document/token matrix from disk in an efficient, sparse fashion. Performing test/train splits, and automatic classification tests. Operating in server mode, receiving and answering queries over a socket. The library does not: Have English parsing or part-of-speech tagging facilities. Do smoothing across N-gram models. Claim to be finished. Have good documentation. Claim to be bug-free. It is known to compile on most UNIX systems, including Linux,Solaris, SUNOS, Irix and HPUX. Over a year ago, it compiled onWindowsNT (with a GNU build environment); it doesn't do this any more,but probably could with small fixes. Patches to the code are mostwelcome. It is developed on a Linux system. The code conforms to the GNU codingstandards. It is released under the Library GNU PublicLicense (LGPL).CitationYou are welcome to use the code under the terms of the licence forresearch or commercial purposes, however please acknowledge its usewith a citation: McCallum, Andrew Kachites. "Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering." http://www.cs.cmu.edu/~mccallum/bow. 1996. Here is a BiBTeX entry: @unpublished{McCallumLibbow, author = "Andrew Kachites McCallum", title = "Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering", note = "http://www.cs.cmu.edu/~mccallum/bow", year = 1996}Obtaining the Source Source code for the library can be downloaded from this directory. Different versions are indicated byeight digit sequences that indicate year, month and day. Thus, the mostrecent version is the one with the largest version number.Unfortunately I do not have time to help rainbow's many userswith all their compilation and usage problems. Feel free to send memail asking for help, but please do not necessarily expect me to havetime to help. Most appreciated are bug reports accompanied byfixes. Bow Library Front-EndsProvided in the library source distribution, there are currently threeexecutable programs based on the library. Rainbow is an executable program that doesdocument classification. While mostly designed for classification bynaive Bayes, it also provides TFIDF/Rocchio, Probabilistic Indexingand K-nearest neighbor. Arrow is an executable program that doesdocument retrieval. It currently only performs simple TFIDF-basedretrieval. Crossbow is a an executable program thatdoes document clustering (and also classification).Last updated: 12 September 1998,mccallum@cs.cmu.edu
 

A

library

of

C

code

useful

for

writing

statistical

text

analysis,

language

modeling,

and

information

retrieval

programs.

The

current

distribution

includes

the

library,

as

well

as

front-ends

for

docume

http://www.cs.cmu.edu/~mccallum/bow/

Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering 2008 September

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A library of C code useful for writing statistical text analysis, language modeling, and information retrieval programs. The current distribution includes the library, as well as front-ends for docume

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