Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8208Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sharma, Yashvardhan | - |
| dc.date.accessioned | 2023-01-02T09:39:29Z | - |
| dc.date.available | 2023-01-02T09:39:29Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.uri | https://ceur-ws.org/Vol-1150/sharma.pdf | - |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8208 | - |
| dc.description.abstract | Online Journalism is being seen as future of Journalism. News Professionals are vying to capture newsworthy stories that emerge from crowd. Live Social Media especially Twitter is generating enormous volumes of data every minute. It becomes difficult to select credible and relevant tweets that may form quality news among others. The problem intensifies due to the freedom of Twitter being an informal language. Generating headlines by solving this problem may still not be relevant and may face the question of authenticity. Given a set of keywords and a time period this problem becomes manageable and can be solved efficiently. We propose a bipartite algorithm that clusters authentic tweets based on key phrases and ranks the clusters based on trends in each timeslot. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | CEUR | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Social Media | en_US |
| dc.subject | en_US | |
| dc.title | TwiBiNG: A Bipartite News Generator Using Twitter | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Department of Computer Science and Information Systems | |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.