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It is truly said by Michelangelo Antonisoni that “We live in a society that compels us to go on using the concepts, and we no longer know what they mean”. A central challenge in understanding the vital concepts of a thesis lies in the complexity of jargons. Our goal is to build an interactive Web application coupled with a chat interface to make learning or knowledge gaining easier. Thus our Web application...
addition, even if a literature source was allocated with a MeSH term, there is a still the problem that valuable literature sources are missed during the data-gathering process. There are literature sources that are not indexed to the MeSH term of a keyword, even though it contains valuable information related to the MeSH
all cases, reliable taxonomies considering precision and recall along with F-measure. For the experiment, we use Reuters (RCV1) dataset and the results show that we improve the discovering pattern as compared to previous text mining methods. The results of the experiment setup show that the keyword-based methods not give
of the documents considered for context assessment contains the authors list, keywords list and list of document versioning time schedules. The experiments were conducted to assess the significance of the proposed model.
latent semantic analysis), is used to classify event types. To decide an appropriate number of event types, lexical pattern analysis is used. By the experimental results, it is observed that our approach could be used to extract event keywords from the basketball webcast texts.
Bloom taxonomy verb keywords being assigned to more than one category of Bloom taxonomy. The presence of this poses a problem in respect of classifying a particular question into a right category of Bloom taxonomy. And feature extraction plays an important role in improving the accuracy of classifier such as Support Vector
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.