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Routing Documents According to Style (1998)
| Venue: | In Proceedings of First International Workshop on Innovative Information Systems |
| Citations: | 20 - 2 self |
BibTeX
@INPROCEEDINGS{Argamon98routingdocuments,
author = {Shlomo Argamon and Moshe Koppel and Galit Avneri},
title = {Routing Documents According to Style},
booktitle = {In Proceedings of First International Workshop on Innovative Information Systems},
year = {1998}
}
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Abstract
Most research on automated text categorization has focused on determining the topic of a given text. While topic is generally the main characteristic of an information need, there are other characteristics that are useful for information retrieval. In this paper we consider the problem of text categorization according to style. For example, in searching the web, we may wish to automatically determine if a given page is promotional or informative, was written by a native English speaker or not, and so on. Learning to determine the style of a document is a dual to that of determining its topic, in that those document features which capture the style of a document are precisely those which are independent of its topic. We here define the features of a document to be the frequencies of each of a set of function words and parts-of-speech triples. We then use machine learning techniques to classify documents. We test our methods on four collections of downloaded newspaper and magazine articl...
