منابع مشابه
Text mining without document context
We consider a challenging clustering task: the clustering of multi-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, we developed a methodology taking as input multi-word terms and lexico-syntactic relations between them. Our clustering algorithm, named CPCL is implemented in the TermWatch system. We compared CPCL to other existing ...
متن کاملPhrase Clustering Without Document Context
We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual document co-occurrence information. Our clustering algorithm, CPCL (Classification by Preferential Clustered Link) is based on general lexico-syntactic relations which do not require prior domain knowledge or the existence of a...
متن کاملText Mining Methods for Hierarchical Document Indexing
We have recently seen a tremendous growth in the volume of online text documents from networked resources such as the Internet, digital libraries, and company-wide intranets. One of the most common and successful methods of organizing such huge amounts of documents is to hierarchically categorize documents according to topic (Agrawal, Bayardo & Srikant, 2000; Kim & Lee, 2003). The documents ind...
متن کاملDocument Indexing Techniques for Text Mining
Owing to the growing amount of digital information stored in natural language, systems that automatically process text are of crucial importance and extremely useful. There is currently a considerable amount of research work (Sebastiani, 2002; Crammer et al., 2003) using a large variety of machine learning algorithms and other Knowledge Discovery in Databases (KDD) methods that are applied to T...
متن کاملMining Cross-document Relationships from Text
The paper argues that automatic link generation and typing methods are needed to find and maintain crossdocument links in large and growing textual collections. Such links are important to organise information and to support search and navigation. We present an experimental study on mining cross-document links from a collection of 5000 documents. We identify a set of link types and show that th...
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ژورنال
عنوان ژورنال: Information Processing & Management
سال: 2006
ISSN: 0306-4573
DOI: 10.1016/j.ipm.2006.03.017