Improved Unsupervised Framework for Solving Synonym, Homonym, Hyponymy & Polysemy Problems from Extracted Keywords and Identify Topics in Meeting Transcripts
نویسندگان
چکیده
منابع مشابه
A Fuzzy Logic Based Improved Keyword Extraction From Meeting Transcripts
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 fea...
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The web provides volumes of text-based data about customer preferences which are stored in online review websites, twitter, face book, blogs, etc. Sentiment classification has emerged as a method for mining opinions from such text archives and it uses machine learning methods combined with linguistic attributes or features in order to identify the sentiment polarity like positive, negative, and...
متن کاملImproved Keyword and Keyphrase Extraction from Meeting Transcripts
Keywords play a vital role in extracting the correct information as per user requirements. Keywords are like index terms that contain the most important information about the content of the document. Keyword Extraction is the task of identifying a keyword or keyphrase from a document that can help users easily to understand the documents. Meeting transcripts is significantly different from docu...
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This paper explores several unsupervised approaches to automatic keyword extraction using meeting transcripts. In the TFIDF (term frequency, inverse document frequency) weighting framework, we incorporated partof-speech (POS) information, word clustering, and sentence salience score. We also evaluated a graph-based approach that measures the importance of a word based on its connection with oth...
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the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...
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ژورنال
عنوان ژورنال: International Journal of Computer Science, Engineering and Applications
سال: 2012
ISSN: 2231-0088
DOI: 10.5121/ijcsea.2012.2508