This work describes an approach to determine whether people participate in the events they tweet about. Specifically, we determine whether people are participants in events with respect to the tweet timestamp. We target all events expressed by verbs in tweets, including past, present and events that may occur in future. We define event participant as people directly involved in an event regardless of whether they are the agent, recipient or play another role. We present an annotation effort, guidelines and quality analysis with 1,096 event mentions. We discuss the label distributions and event behavior in the annotated corpus. We also explain several features used and a standard supervised machine learning approach to automatically determine if and when the author is a participant of the event in the tweet. We discuss trends in the results obtained and devise important conclusions.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc984235 |
| Date | 05 1900 |
| Creators | Sanagavarapu, Krishna Chaitanya |
| Contributors | Blanco, Eduardo, Yuan, Xiaohui, Huang, Yan, 1974- |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vii, 30 pages, Text |
| Rights | Public, Sanagavarapu, Krishna Chaitanya, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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