2026-09-18T19:38:39Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/26234 2023-07-10 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Han, Jiawei Danilevsky, Marina 2011-08-25T22:19:53Z 2011-08-25T22:19:53Z 2011-08-25T22:19:53Z 2011-08 It’s not just what you say, but it is how you say it. To date, the majority of the Instant Message (IM) analysis and research has focused on the content of the conversation.The main research question has been, ‘what do people talk about?’ focusing on topic extraction and topic modeling. While content is clearly critical for many real-world applications, we have largely ignored identifying ‘how’ people communicate. Conversation structure and communication patterns provide deep insight into how conversations evolve, and how the content is shared. Motivated by theoretical work from psychology and linguistics in the area of conversation alignment, we introduce SCENE, an evolution network approach to extract knowledge from a conversation network. We demonstrate the potential of our approach by taking the task of matching conversation partners. We find that SCENE is more successful because, in contrast to existing approaches, SCENE treats a conversation as an evolving, rather than a static document, and focuses on the structural elements of the conversation instead of being tied to the specific content. Item withdrawn by Rebecca Bryant (rabryant@illinois.edu) on 2011-07-14T15:24:14Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Danilevsky_Marina.pdf: 2758415 bytes, checksum: acac637ae9f018cd1a3529729f55b398 (MD5) Made available in DSpace on 2011-08-25T22:19:53Z (GMT). No. of bitstreams: 2 Danilevsky_Marina.pdf: 2758415 bytes, checksum: acac637ae9f018cd1a3529729f55b398 (MD5) license.txt: 4067 bytes, checksum: 8e435d2c62994be9a5f141f5674eba16 (MD5) http://hdl.handle.net/2142/26234 en Copyright 2011 by Marina Grigoryevna Danilevsky. All rights reserved. conversation network conversation evolution network conversation structure network SCENE: Structural Conversation Evolution Network Computer Science 1434 Computer Science 0112 University of Illinois at Urbana-Champaign Thesis M.S. MS:Computer Science -UIUC 10KS0112MS