Abstract
Incremental extraction of domain-specific terms from online text resources is necessary in many information retrieval (IR) and natural language processing (NLP) applications. The purpose of this paper is to present an efficient approach which can classify online text collections from the Internet dynamically and extract domain-specific terms incrementally. This approach is developed through a successful integration of PAT-tree indexing, term extraction and document classification techniques.
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