Half-Day Tutorial: Collecting, Analyzing, and Visualizing Tweets Using Open Source Tools
dc.contributor | Virginia Tech. Department of Computer Science. Digital Library Research Laboratory | en |
dc.contributor.author | Yang, Seungwon | en |
dc.contributor.author | Kavanaugh, Andrea L. | en |
dc.contributor.department | Digital Library Research Laboratory | en |
dc.contributor.department | Computer Science | en |
dc.date.accessed | 2014-09-16 | en |
dc.date.accessioned | 2015-05-26T18:59:59Z | en |
dc.date.available | 2015-05-26T18:59:59Z | en |
dc.date.issued | 2011-06-01 | en |
dc.description.abstract | This tutorial introduces various open source tools and methods to archive tweets on a user's local machine and convert them into topic clouds for quick content analysis. For more in-depth techniques such as n-grams and term extraction are introduced along with PHP/Python scripting. | en |
dc.description.notes | Digital Government '11, June 12-15, 2011, College Park, MD | en |
dc.format.extent | 2 pages | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Seungwon Yang and Andrea Kavanaugh. Half-Day Tutorial: Collecting, Analyzing and Visualizing Tweets using Open Source Tools. ACM 2011 Digital Government Research Conference (2011), June 12-15, 2011 (College Park, MD). New York: ACM Press. | en |
dc.identifier.uri | http://hdl.handle.net/10919/52595 | en |
dc.identifier.url | http://eventsarchive.org/sites/default/files/Twitter%20tutorial%20submitted.pdf | en |
dc.language.iso | en_US | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Microblogging | en |
dc.subject | Word clouds | en |
dc.subject | Visualization | en |
dc.subject | Natural language processing (Computer science) | en |
dc.subject | Information retrieval | en |
dc.title | Half-Day Tutorial: Collecting, Analyzing, and Visualizing Tweets Using Open Source Tools | en |
dc.type | Learning object | en |
dc.type.dcmitype | Text | en |
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