A Fuzzy Logic Based Improved Keyword Extraction From Meeting Transcripts
نویسنده
چکیده
Keyword Extraction is the process of assigning keywords to a document where the important words are selected by the system automatically. This proposed frame work is used to extract the keywords using Fuzzy logic method from Meeting Transcripts. At first, the given input is preprocessed. Subsequently, the preprocessed data will be sent to the features extraction method. In this method three features are introduced namely Frequency Calculation, Noun Extraction and Clustering using Fuzzy CMeans. Each feature is categorized into three sets like Low, Medium and High followed by Fuzzy rules which can be applied in all these features to extract the certain set of principal keywords from the given input. Now the extracted keywords are reduced by solving Synonym, Homonym, Hyponymy and Polysemy (SHHP) problems method. Here, this method is performed by existing methods, the result leads to a better extraction compared to the available approaches KeywordsKeyword extraction; Fuzzy logic; Fuzzy rules; Features Extraction; Text mining
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