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20 Newsgroups
Abstract
This data set consists of 20000 messages taken from 20 Usenet newsgroups.
Information files:
description of the data
Data files:
20_newsgroups.tar.gz (17.3M; 61.6M uncompressed)
mini_newsgroups.tar.gz A subset composed of 100 articles from each newsgroup. (1.9M; 6.2M uncompressed)
The nonsense which follows is a Markov Chain based upon patterns in some pieces of English text. Word-Unit Nonsense uses patterns about words that tend to follow one another. Character-Unit Nonsense uses letters.
DadaDodo is a program that analyses texts for word probabilities, and then generates random sentences based on that. Sometimes these sentences are nonsense; but sometimes they cut right through to the heart of the matter, and reveal hidden meanings.
This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
SecondString is intended primarily for researchers in information integration and other scientists. It does or will include a range of string-matching methods from a variety of communities, including statistics, artificial intelligence, information retrieval, and databases. It also includes tools for systematically evaluating performance on test data. It is not designed for use on very large data sets.
A. Maedche, und S. Staab. ECAI-2000 --Proceedings of the 13th European Conference on Artificial Intelligence, Seite 321--325. IOS Press, Amsterdam, (2000)
S. Bloehdorn, und A. Hotho. Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence, (September 2004)
Y. Zhao, und G. Karypis. CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management, Seite 515--524. New York, NY, USA, ACM Press, (2002)
I. Dhillon, Y. Guan, und J. Kogan. 2nd SIAM International Conference on Data Mining (Workshop on Clustering High-Dimensional Data and its Applications), (2002)
F. Beil, M. Ester, und X. Xu. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, Seite 436--442. ACM Press, (2002)
S. Bloehdorn, P. Cimiano, A. Hotho, und S. Staab. LDV Forum - GLDV Journal for Computational Linguistics and Language Technology, 20 (1):
87-112(Mai 2005)