Microblog Retrieval Using Topical Features and Query Expansion

Cher Han Lau, Yuefeng Li, Dian Tjondronegoro
2011 Text Retrieval Conference  
Retrieving information from Twitter is always challenging given its volume, inconsistent writing and noise. Existing systems focus on term-based approach, but important topical features such as person, proper noun and events are often neglected, leading to less satisfactory results while searching information from tweets. This paper propose a novelty feature extraction algorithm which targets the above problems, and present the experiment results using TREC11 dataset. The proposed approach
more » ... ders both term-based and patternbased features and distribute weights accordingly. We experiment four different setting to evaluate different combinations and results show that our approach outperformed traditional method of using term-based or pattern only methods and signify the importance of topical features in microblog retrieval.
dblp:conf/trec/LauLT11 fatcat:xexud6x4kbcjnn4r36qmqtpwfi