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Tag: graph based text mining

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes

Ganesan K, Lloyd S, Sarkar V. Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes. Biomedical Engineering and Computational Biology. 2016;7(Suppl 2):27-33. doi:10.4137/BECB.S36155. Abstract The ability to find highly related clinical concepts is essential for many applications such as for hypothesis generation, query expansion for medical literature search, search results filtering, ICD-10 code filtering and many other applications. While manually constructed medical terminologies such as SNOMED CT can surface certain related concepts, these terminologies are inadequate as they depend on…

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Mining tag clouds and emoticons behind community feedback

Mining tag clouds and emoticons behind community feedback

Ganesan, K. A., N. Sundaresan, and H. Deo, “Mining tag clouds and emoticons behind community feedback“, WWW ’08: Proceeding of the 17th international conference on World Wide Web, Beijing, China, ACM, pp. 1181–1182, 2008. Abstract In this paper we describe our mining system which automatically mines tags from feedback text in an eCommerce scenario. It renders these tags in a visually appealing manner. Further, emoticons are attached to mined tags to add sentiment to the visual aspect. Download Paper http://dl.acm.org/authorize?943606 Related Articles…

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