Text-Item Classification Software System

A Text-Item Classification Software System is a classification software system that can solve a text-item classification task (by implementing a text-item classification algorithm).

• Context:
  • It can range from being a Heuristic Text Classification System to being a Data-Driven Text Classification System (such as a supervised text classifier).
  • It can range from being a Single-Label Text Classification System to being (typically) a Multi-Label Text Classification System.
  • It can utilize various natural language processing (NLP) techniques to preprocess, vectorize, and classify text-items.
  • It can be designed to work with texts of various sizes, from short texts like tweets and product reviews to longer documents such as articles and legal documents.
  • It can employ different machine learning models, including decision trees, neural networks, and support vector machines, depending on the complexity of the task and the nature of the text.
  • It can be applied in numerous domains, including but not limited to spam detection, sentiment analysis, topic classification, and document organization.
• Example(s):
  • a News Categorization System, such as: Google News Service.
  • a Research Paper Classification System, such as: arXiv's Automated Classification.
  • a Social Media Sentiment Analysis System, such as: Twitter Sentiment Analysis Tools.
  • a Document Classification System (for document classification task).
  • a Contract Article Classification System (for contract article classification task).
  • a Document Classification System (for document classification task)s, such as a commercial contract categorization system.
  • a Contract Article Classification System (for contract article classification task).
  • …
• Counter-Example(s):
  • a Text Clustering System.
  • a Text Chunking System.
• See: NLP System.

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References

2009

• NLSR Service http://registry.dfki.de/sections.php3?f_mainsection=2&f_section=50
  • BETSY - Bayesian Essay Test Scoring sYstem: Free Windows based text classifier/essay scorer
  • Carabao Language Kit: A complete suite of advanced NLP components & development tools
  • Cypher: Cypher is one of the first software program available which generates the RDF graph and SeRQL query
  • DioMorfo: Information management tool in three languages supported by extensive thesaurus
  • Ellogon: Ellogon is a language engineering platform that offers a large number of facilities, including tools
  • GATE System: Development Tools, System Architecture, Information Extraction
  • ICE - Intelligent Content Engineering: Content analysis platform with a broad range of NLP modules, knowledge management and evaluation fu
  • Insight Discoverer Categorizer: Information Categorization server
  • Insight Discoverer Clusterer: Information classification server
  • LangSuite: commercial NLP/NLU system
  • Leximancer: Fast Automatic Document Mapping System
  • ML Classification Server: Automatic classification for russian (english version soon available)
  • Proteus Conversational Interface: Conversational interface using fuzzy matching and complex knowledge representation
  • Rubryx: Text classification program
  • TextCat: Language Guesser; knows about 70 different languages
  • theConcept: Text mining on the web or desktop
  • TiMBL - Tilburg Memory Based Learner: machine learning software package implementing a family of Memory-based Learning techniques for discrete data
  • Topicalizer: Information extraction and analysis of various textual features
  • weta: Weta is an open source* framework for text analysis implemented in Java.
  • WMTrans Products: text processing software for various NLP applications

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