DocumentCode
660928
Title
Detecting Life Events in Feeds from Twitter
Author
Di Eugenio, Barbara ; Green, Nick ; Subba, Rajen
Author_Institution
Univ. of Illinois at Chicago, Chicago, IL, USA
fYear
2013
fDate
16-18 Sept. 2013
Firstpage
274
Lastpage
277
Abstract
Short posts on micro-blogs are characterized by high ambiguity and non-standard language. We focus on detecting life events from such micro-blogs, a type of event which have not been paid much attention so far. We discuss the corpus we assembled and our experiments. Simpler models based on unigrams perform better than models that include history, number of retweets and semantic roles.
Keywords
social networking (online); social sciences computing; Twitter; life events detection; microblogs; unigrams; Accuracy; Employment; History; Interviews; Semantics; Support vector machines; Twitter; Machine Learning; Semantic Role Labelling; Social Media; Text Classification; Twitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
Conference_Location
Irvine, CA
Type
conf
DOI
10.1109/ICSC.2013.54
Filename
6693529
Link To Document