Big Data Full-Text Search Index Minimization Using Text Summarization
نویسندگان
چکیده
منابع مشابه
Text Summarization Using Cuckoo Search Optimization Algorithm
Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...
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today, with rapid growth of the world wide web and creation of internet sites and online text resources, text summarization issue is highly attended by various researchers. extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. when, we are facing into large data volume documents, the extr...
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Other research has shown that although the abstract is more information dense, the full text of a scientific article in the biomedical domain has much greater information content.1 We know from observing indexers and studying their indexing process that some of the assigned MeSH concepts do not appear in the abstract. The indexing manual also dictates that the abstract should not be used during...
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Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...
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ژورنال
عنوان ژورنال: Information Technology and Control
سال: 2021
ISSN: 2335-884X,1392-124X
DOI: 10.5755/j01.itc.50.2.25470