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better understanding. To obtain different clusterings, users can adjust the keyword importance on the fly. Topic modeling represents the documents with higher-level semantic meanings. System performance has been optimized to achieve instantaneous animated visualization even for very large data collections. A powerful user
Pittsburgh dataset. We experimented with 3 different topic modeling methods including LDA and 2 ICD-based methods and a keyword search method for the identification of delirium related documents and sentences in clinical notes. As expected, the keyword search method is highly specific but insufficiently sensitive when searching
difficulty due to the large size of the list of words in a thesaurus. In this paper, we present a new method for solving the problem of text categorization over a corpus of newspaper articles where the annotation must be composed of thesaurus elements. The method consists of applying lemmatization, obtaining keywords and named
This paper reports on the work on a new service using text mining on SMS data: SMSTrends. The service extracts trends in the form of keywords from SMS messages sent and received by ad hoc location-based communities of users. Trends are then presented to the user using a phone widget, which is regularly updated to show
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.