Identifying entity aspects in microblog posts

Online reputation management is about monitoring and handling the public image of entities (such as companies) on the Web. An important task in this area is identifying aspects of the entity of interest (such as products, services, competitors, key people, etc.) given a stream of microblog posts referring to the entity. In this paper we compare different IR techniques and opinion target identification methods for automatically identifying aspects and find that (i) simple statistical methods such as TF.IDF are a strong baseline for the task, significantly outperforming opinion-oriented methods, and (ii) only considering terms tagged as nouns improves the results for all the methods analyzed. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing Keywords Microblog posts, entity profiling, aspects

• Type: Journal
• Year: 2012
• Where: SIGIR
• Authors: Damiano Spina, Edgar Meij, Maarten de Rijke, Andrei Oghina, Minh Thuong Bui, Mathias Breuss
• Keywords: Information Storage And Retrieval, Information Technology, IR Techniques, Reputation Management, SIGIR 2012