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Towards Semantic Retrieval of Hashtags in MicroblogsAuthors: Piyush Bansal,Somay Jain,Vasudeva Varma Conference: 24th International World Wide Web Conference Date: 2015-05-18 Report no: IIIT/TR/2015/41 AbstractOn various microblogging platforms like Twitter, the users post short text messages ranging from news and information to thoughts and daily chatter. These messages of ten contain keywords called Hashtags , which are semantico syntactic constructs that enable topical classification of the microblog posts. In this poster, we propose and evaluate a novel method of semantic enrichment of microblogs for a particular type of entity search – retrieving a ranked list of the top-k hashtags relevant to a user’s query Q . Such a list can help the users track posts of their general interest. We show that our technique significantly improved microblog re trieval as well. We tested our approach on the publicly available Stanford sentiment analysis tweet corpus. We observed an improvement of more than 10% in NDCG for microblog retrieval task, and around 11% in mean average precision for hashtag retrieval task. Full paper: pdf Centre for Search and Information Extraction Lab |
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