View Yahoo! Web Directory Topics (public)

2012-03-13 15:16 by jeanbaptiste | Version 3 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

Contains parsed webpages along with their topics extracted from Yahoo! web directory

License
unknown
Dependencies
Tags
bag-of-words Classification multi-class text web-pages Yahoo!
Attribute Types
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# Instances: 2212 / # Attributes: 10630
HDF5 (3.6 MB) XML CSV ARFF LibSVM Matlab Octave

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Completeness of this item currently: 77%.
Original Data Format
libsvm
Name
yahoo-web-directory-topics
Version mldata
0
Comment

LibSVM

Names
Data (first 10 data points)
    4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

Extracted from Yahoo! web directory, this data set contains parsed webpages along with their topics. Each line is the bag of words representation of a web page whose label is it is first level topic in the Yahoo directory hierarchy. The topics ids correspond to the following semantic topic: 1 Arts 2 Business and Economy 3 Education 4 Entertainment

The format used is libsvm format with zeros being omitted. For more info, please don't hesitate to contact me on : jean . faddoul (at) gmail . com , http://www.grappa.univ-lille3.fr/~faddoul/

URLs
http://dir.yahoo.com/
Publications
    Data Source
    Yahoo! web Directory
    Measurement Details
    Usage Scenario
    revision 1
    by jeanbaptiste on 2012-03-05 14:30
    revision 2
    by jeanbaptiste on 2012-03-13 15:16
    revision 3
    by jeanbaptiste on 2012-03-13 15:16

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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