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    Genre-KI-04

    • explore.openaire.eu
    • webis.de
    Updated Sep 20, 2004
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    Benno Stein; Sven Meyer zu Eissen (2004). Genre-KI-04 [Dataset]. http://doi.org/10.5281/zenodo.3233880
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    Dataset updated
    Sep 20, 2004
    Authors
    Benno Stein; Sven Meyer zu Eissen
    Description

    The web genre corpus 2004 (Genre-KI-04) is designed for the evaluation of techniques for genre classification. It consists of 1239 web documents classified into 8 genres and basic meta data for each of the files. The corpus consists of the HTML documents grouped into directories according to their respective genre. The first lines of each document contain the meta information for each document in a HTML comment. This information includes the URL the document was downloaded from as well as the document title and the parsed text. A definition of the genres can be found in the paper (http://dx.doi.org/10.1007/978-3-540-30221-6_20) or in the corpus. The distribution of the documents among the genres is summarized below. Articles: 127 (10.2%) Discussion: 127 (10.3%) Download: 152 (12.3%) Help: 140 (11.3%) Link lists: 208 (16.8%) Portrait (non private): 179 (14.4%) Portrait (private): 131 (10.6%) Shop: 175 (14.1%) Sum: 1239 (100%)

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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Benno Stein; Sven Meyer zu Eissen (2004). Genre-KI-04 [Dataset]. http://doi.org/10.5281/zenodo.3233880

Genre-KI-04

Explore at:
32 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 20, 2004
Authors
Benno Stein; Sven Meyer zu Eissen
Description

The web genre corpus 2004 (Genre-KI-04) is designed for the evaluation of techniques for genre classification. It consists of 1239 web documents classified into 8 genres and basic meta data for each of the files. The corpus consists of the HTML documents grouped into directories according to their respective genre. The first lines of each document contain the meta information for each document in a HTML comment. This information includes the URL the document was downloaded from as well as the document title and the parsed text. A definition of the genres can be found in the paper (http://dx.doi.org/10.1007/978-3-540-30221-6_20) or in the corpus. The distribution of the documents among the genres is summarized below. Articles: 127 (10.2%) Discussion: 127 (10.3%) Download: 152 (12.3%) Help: 140 (11.3%) Link lists: 208 (16.8%) Portrait (non private): 179 (14.4%) Portrait (private): 131 (10.6%) Shop: 175 (14.1%) Sum: 1239 (100%)

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