Advancements in Text Mining Algorithms and Software
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Summary
This chapter presents the General Text Parser (GTP) software environment with network storage capability, designed to provide information retrieval and data mining specialists the ability to parse and index large text collections.
- Type
- article
- Published
- 2003-01-01
- Cited by
- 1
- References
- 20
- OpenAlex
- https://openalex.org/W45496518
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59653597
Keywords
Computer science, Parsing, Search engine indexing, Java, Software
References
- J.E.Hopcroft, J.D. Ullman 著, "Introduction to Automata Theory, Languages, and Computation", Addison-Wesley, A5変形版, X+418, \6,670, 1979
- Understanding search engines: mathematical modeling and text retrieval (software
- Book Reviews: Foundations of Statistical Natural Language Processing
- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data
- Pattern-Based Disambiguation for Natural Language Processing
- Matrices, Vector Spaces, and Information Retrieval
- Technological powerhouse or diluted competence: Techniques for assessing mergers via patent analysis
- Using Linear Algebra for Intelligent Information Retrieval
- On the Inverse Relationship of Recall and Precision.
- Algorithms for High Performance, Wide-Area Distributed File Downloads
- The network weather service: a distributed resource performance forecasting service for metacomputing
- Market Value and Patent Citations: A First Look
- An end-to-end approach to globally scalable network storage
- Extracting Meaningful Entities from Police Narrative Reports
- Learning Information Extraction Rules for Semi-Structured and Free Text
- The Internet Backplane Protocol: A Study in Resource Sharing
- Mobile management of network files
- Integrating network storage into information retrieval applications
- GTP (General Text Parser) Software for Text Mining
- Managing Data Storage in the Network
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