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• W2750605633 abstract "Retrieving relevant tweets corresponding to cultural eventscan be used in various applications like event reporting, event recommendation, etc. This type of retrieval is challenging due to short length of thetweet, noise, out of vocabulary words, abbreviations in the tweet. In thispaper, we focus on the problem of retrieving relevant tweets related togiven cultural event of a festival. We consider several factors like BM25,DFR, presence of artist name, relevant hashtag, festival name for findingthe relevance of tweets to the event. We apply BM25 + DFR model toretrieve candidate set of tweets related to each event of a festival. Wefind the top hashtags for each event by exploring meta-attributes of anevent. We re-rank the initial rank list from BM25 + DFR based on twostrategies, namely, presence of the event meta-attributes (artist name,festival name, title, etc.) and the identified top hashtags in the tweet,and based on the timestamp of the event. We experimented on a subsetof CLEF 2017 cultural microblog contextualization dataset. The experimental results show that the proposed method is able to put relevanttweets at the top of the retrieval list." @default.
• W2750605633 created "2017-09-15" @default.
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• W2750605633 date "2017-01-01" @default.
• W2750605633 modified "2023-09-28" @default.
• W2750605633 title "IITH at CLEF 2017: Finding Relevant Tweets for Cultural Events" @default.
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