Graduate School and Research Center in Digital Sciences

Social event discovery by topic inference

Liu, Xueliang; Huet, Benoit

WIAMIS 2012, 13th International Workshop on Image Analysis for Multimedia Interactive Services, 23-25 May 2012, Dublin City University, Ireland

With the keen interest of people for social media sharing websites the multimedia research community faces new challenges and compelling opportunities. In this paper, we address the problem of discovering specific events from social media data automatically. Our proposed approach assumes that events are conjoint distribution over the latent topics in a given place. Based on this assumption, topics are learned from large amounts of automatically collected social data using a LDA model. Then, event distribution estimation over a topic is solved using least mean square optimization. We evaluate our methods on locations scattered around the world and show via our experimental results that the proposed framework offers promising performance for detecting events based on social media.

Document Doi Bibtex

Title:Social event discovery by topic inference
Type:Conference
Language:English
City:Dublin
Country:IRELAND
Date:
Department:Data Science
Eurecom ref:3699
Copyright: © 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Bibtex: @inproceedings{EURECOM+3699, doi = {http://dx.doi.org/10.1109/WIAMIS.2012.6226752}, year = {2012}, title = {{S}ocial event discovery by topic inference }, author = {{L}iu, {X}ueliang and {H}uet, {B}enoit}, booktitle = {{WIAMIS} 2012, 13th {I}nternational {W}orkshop on {I}mage {A}nalysis for {M}ultimedia {I}nteractive {S}ervices, 23-25 {M}ay 2012, {D}ublin {C}ity {U}niversity, {I}reland}, address = {{D}ublin, {IRELAND}}, month = {05}, url = {http://www.eurecom.fr/publication/3699} }
See also: