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This article describes an algorithm to facilitate the proper assignment of reviewers by finding an author's profile. It uses an original approach to analyzing publications published in digital libraries to get additional keywords based on NLP (natural language processing) techniques. Comparing profiles and finding
is shown to the user and if the user approve it then it is the final summary, otherwise new summary is generated as per the user feedback in form of keywords. Results of experiments on DUC2006 documents indicate that the performance of the proposed approach compares very favorably with other approaches in terms of
Conventional document clustering techniques are mainly based on the existence of keywords and the number of occurrences of it. Most of the term frequency based clustering techniques consider the documents as bag-of-words and ignore the important relationships between the words in the document. Phrase based clustering
-defined queries in selected biological published papers during the last five decades. So, in order to evaluate the results, three different data sets were collected and four vectors of selected keywords were considered as the four queries. "Title", "Published date" and the "Abstract
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.