Microblogs such as Twitter are considered faster first-hand sources of information with many real-time fashions. We report our work in the real-time ad hoc search and filtering tasks of TREC 2012 microblog track. Our system is built based on the traditional BM25 relevance model, in which specific techniques are tried out to respond to the need of finding relevant tweets. In the real-time ad hoc task, we applied a peak detection algorithm for the process of blind feedback. We also tried to automatically combine the search results of multiple retrieval techniques. In the real-time filtering pilot task, we examine the effectiveness of some typical filtering methods previously used in TREC filtering track.
|Title of host publication||Social Media Content Analysis|
|Subtitle of host publication||Natural Language Processing and Beyond|
|Publisher||World Scientific Publishing Co. Pte Ltd|
|Number of pages||12|
|Publication status||Published - 1 Jan 2017|
ASJC Scopus subject areas
- Computer Science(all)