Moving from news to social media: unsupervised knowledge enrichment for event extraction
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Authors
Li, Hao
Issue Date
2015-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
Abstract
The second challenge comes from informal genres such as social media. The context of a social media message is usually short and incomplete (e.g., each tweet has a length limitation of 140 characters). Lacking of context, a single tweet itself usually cannot provide a complete picture of the corresponding events. The third challenge is the informal nature of social media. Social media messages are written in an informal style, which causes the poor performance of NLP tools designed for more formal genres.
Description
December 2015
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY