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scientifique

Tweets analysis for event detection / Soumaya Cherichi in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 1 (janvier - février 2016)  

Public [article]  inIngénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI > vol 21 n° 1 (janvier - février 2016) . - pp 61 - 80 Titre : Tweets analysis for event detection Type de document : Article/Communication Auteurs : Soumaya Cherichi, Auteur ; Rim Faiz, Auteur Année de publication : 2016 Article en page(s) : pp 61 - 80 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information [Termes IGN] données massives [Termes IGN] gestion des connaissances (organisation) [Termes IGN] processus temporel [Termes IGN] recherche d'information [Termes IGN] Twitter Résumé : (Auteur) Social media systems have been proven to be valuable platforms for information and communication, particularly during events; in case of natural disaster like earthquakes tsunami and states of nuclear emergencies in Japan in 2011. The behavior leads to an accumulation of an enormous amount of information. However, finding relevant posts can be a challenging task, since the relevance of a post is dependent both on its content, author and tweet’s characteristics. Besides identifying tweets that describe a specific type of event is also challenging due to the high complexity and variety of event descriptions. These challenges present a big opportunity for Natural Language Processing (NLP) and Information Extraction (IE) technology to enable new large-scale data-analysis applications. Taking to account all the difficulties, this paper proposes a new metric to improve the results of the searches in microblogs. It combines content relevance, tweet relevance and author relevance, and develops a Natural Language Processing method for extracting temporal information of events from posts more specifically tweets. Our approach is based on a methodology of temporal markers classes and on a contextual exploration method. To evaluate our model, we built a knowledge management system. Actually, we used a collection of 10 thousand of tweets talking about the current events in 2014 and 2015. Numéro de notice : A2016-065 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Article DOI : 10.3166/isi.21.1.61-80 En ligne : https://doi.org/10.3166/isi.21.1.61-80 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79785 [article]

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Spatial approaches to modeling dispersion of communicable diseases : A review / L. Bian in Transactions in GIS, vol 17 n° 1 (February 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 1 (February 2013) . - pp 1 - 17 Titre : Spatial approaches to modeling dispersion of communicable diseases : A review Type de document : Article/Communication Auteurs : L. Bian, Auteur Année de publication : 2013 Article en page(s) : pp 1 - 17 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] diffusion spatiale [Termes IGN] données spatiotemporelles [Termes IGN] épidémie [Termes IGN] modèle de dispersion [Termes IGN] processus spatial [Termes IGN] processus temporel [Termes IGN] système d'information géographique Résumé : (Auteur) The dispersion of communicable diseases in a population is intrinsically spatial. In the last several decades, a range of spatial approaches has been devised to model epidemiological processes; and they differ significantly from each other. A review of spatially oriented epidemiological models is necessary to assess advances in spatial approaches to modeling disease dispersion and to help identify those most appropriate for specific research goals. The most notable difference in the design of these spatially oriented models is the scale and mobility of the modeling unit. Using two criteria, this review identifies six types of spatially oriented models. These include: (1) population-based wave models, (2) sub-population models, (3) individual-based cellular automata models, (4) mobile sub-population models, (5) individual-based spatially implicit models, and (6) individual-based mobile models. Each model type is evaluated in terms of its design principles, assumptions, and intended applications. For the evaluation of design, four aspects of design principles are discussed: the modeling unit, the interaction between the modeling units, the spatial process, and the temporal process utilized in a design. Insights gained from this review can be useful for devising much-needed spatially and temporally oriented strategies to forecast, prevent, and control communicable diseases. Numéro de notice : A2013-037 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01329.x Date de publication en ligne : 23/07/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01329.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32175 [article]