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
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;
Conference_Titel :
Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
Conference_Location :
Irvine, CA
DOI :
10.1109/ICSC.2013.54
