Statistics of online user-generated short documents

Authors:
Giacomo Inches;Mark J. Carman;Fabio Crestani
Affiliations:
Faculty of Informatics, University of Lugano, Lugano, Switzerland;Faculty of Informatics, University of Lugano, Lugano, Switzerland;Faculty of Informatics, University of Lugano, Lugano, Switzerland
Venue:
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Year:
2010

Citing 1
Cited 6

Foundations of statistical natural language processing

Foundations of statistical natural language processing

Online conversation mining for author characterization and topic identification

Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Adding semantics to microblog posts

Proceedings of the fifth ACM international conference on Web search and data mining
Investigating the statistical properties of user-generated documents

FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Employing document dependency in blog search

Journal of the American Society for Information Science and Technology
A data-centric approach to feed search in blogs

International Journal of Web Engineering and Technology
RESLVE: leveraging user interest to improve entity disambiguation on short text

Proceedings of the 22nd international conference on World Wide Web companion

Quantified Score

Hi-index	0.00

Visualization

Abstract

User-generated short documents assume an important role in online communication due to the established utilization of social networks and real-time text messaging on the Internet. In this paper we compare the statistics of different online user-generated datasets and traditional TREC collections, investigating their similarities and differences. Our results support the applicability of traditional techniques also to user-generated short documents albeit with proper preprocessing.