Title :
Mining collaboration through textual semantic interpretation
Author :
Karmakar, Saurav ; Zhu, Ying
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
In this paper, we report our attempt to evaluate the degree of online collaboration with quantitative analysis. Since most online collaborations are carried out through natural language, such quantitative analysis must rely on natural language processing. Here we discuss our work in analyzing an online social visualization web site using the semantic similarity measures of collaborative textual snippets. We use word-based textual similarity measures to study the relationships among user comments. We also detect and visualize the patterns of user collaborations.
Keywords :
Web sites; data mining; data visualisation; groupware; natural language processing; text analysis; collaborative textual snippets; natural language processing; online collaboration; online social visualization Web site; textual semantic interpretation; word-based textual similarity; Collaboration; Data visualization; Measurement; Semantics; Taxonomy; Visualization; Web sites; collaboration; information retrieval; natural language processing; semantic similarity; social network; visualization;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
Conference_Location :
Melacca
Print_ISBN :
978-1-4577-2151-9
DOI :
10.1109/HIS.2011.6122198
