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.


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

Related Articles

Multi-factor clustering for a marketplace search interface


Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to the user but often a large number of results may be returned. Users struggle to manage this vast result set looking for the items of interest. Clustering search results is one way of alleviating this navigational pain. In this paper we describe a clustering system that enables clustering search results in an online marketplace search system.