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Uprising microblogs: a bayesian network retrieval model for tweet search

Published: 26 March 2012 Publication History

Abstract

We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in addition to text similarity measures, the microblogger's influence, the time magnitude and the presence of hashtags. To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with "Arab Spring" topic set show that both of social and temporal features improve tweet search for different types of queries. Final results show also that our model outperforms other traditional information retrieval baselines.

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      cover image ACM Conferences
      SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing
      March 2012
      2179 pages
      ISBN:9781450308571
      DOI:10.1145/2245276
      • Conference Chairs:
      • Sascha Ossowski,
      • Paola Lecca
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 26 March 2012

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      Author Tags

      1. influence
      2. microblogs
      3. time magnitude
      4. tweet search

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      SAC 2012
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      SAC 2012: ACM Symposium on Applied Computing
      March 26 - 30, 2012
      Trento, Italy

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      SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;
      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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      • (2022)ALBU: An Approximate Loopy Belief Message Passing Algorithm for LDA for Small Data SetsIntelligent Computing10.1007/978-3-031-10461-9_50(723-746)Online publication date: 7-Jul-2022
      • (2018)How to Foster Citizen Reblogging of a Government MicroblogInternational Journal of Public Administration in the Digital Age10.4018/IJPADA.20180701015:3(1-15)Online publication date: 1-Jul-2018
      • (2018)Hybrid query expansion model for text and microblog information retrievalInformation Retrieval Journal10.1007/s10791-017-9326-621:4(337-367)Online publication date: 3-Feb-2018
      • (2016)Event Detection in Twitter MicrobloggingIEEE Transactions on Cybernetics10.1109/TCYB.2015.248984146:12(2810-2824)Online publication date: Dec-2016
      • (2016)Learning for Search Results Diversification in TwitterWeb-Age Information Management10.1007/978-3-319-39958-4_20(251-264)Online publication date: 2-Jun-2016
      • (2015)Probabilistic graphical models in modern social network analysisSocial Network Analysis and Mining10.1007/s13278-015-0289-65:1Online publication date: 19-Oct-2015
      • (2015)Social Users Interactions Detection Based on Conversational AspectsNew Trends in Intelligent Information and Database Systems10.1007/978-3-319-16211-9_17(161-170)Online publication date: 2015
      • (2014)Conversation Analysis on Social Networking SitesProceedings of the 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems10.1109/SITIS.2014.80(172-178)Online publication date: 23-Nov-2014
      • (2014)Result Diversification for Tweet SearchWeb Information Systems Engineering – WISE 201410.1007/978-3-319-11746-1_6(78-89)Online publication date: 2014
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