An Extraction Method For Test Keyword Based on Information Entropy
WU Hua
LUO Shun
SUN Weijin
Abstract：Keywords extraction is the basis for techniques of information retrieval,natural language processing,ontology and so on. The paper introduces a new unsupervised method of keywords extraction based on information entropy. The algorithm can ana?lyze texts without prior knowledge such as domain dictionary and word segmentation,can well recognize word out of vocabulary and can deal multi-language condition text. An experimental indicates that the algorithm can achieve good precision rate and recall rate and it has achieved satisfactory results.
Keywords：text analysisnatural language processingkeyword extractionunsupervised method
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 535-538 )