{"id":2294,"date":"2024-01-02T19:12:55","date_gmt":"2024-01-02T19:12:55","guid":{"rendered":"https:\/\/leyton.majjane.agency\/ca\/post\/collection-et-analyse-des-donnees-des-reseaux-sociaux\/"},"modified":"2024-01-02T19:12:55","modified_gmt":"2024-01-02T19:12:55","slug":"collection-et-analyse-des-donnees-des-reseaux-sociaux","status":"publish","type":"article","link":"https:\/\/leyton.com\/ca\/insights\/articles\/collection-et-analyse-des-donnees-des-reseaux-sociaux\/","title":{"rendered":"Collection et analyse des donn\u00e9es des r\u00e9seaux sociaux"},"content":{"rendered":"

Les donn\u00e9es des r\u00e9seaux sociaux<\/strong> sont disponibles en masse, et sont souvent \u00e9parses et parfois incompl\u00e8tes ! Cela est d\u00fb au manque d’algorithmes capables d’analyser ce nouveau type de donn\u00e9es pour en tirer profit.<\/p>\n

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Exploration des donn\u00e9es des r\u00e9seaux sociaux<\/h2>\n
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C\u2019est gr\u00e2ce \u00e0 l\u2019apprentissage statistique que nous avons eu l\u2019habilit\u00e9 d\u2019embrasser le pouvoir magique et la puissance fatale de ces donn\u00e9es dans la d\u00e9finition du futur. La fouille ou l\u2019exploration des r\u00e9seaux sociaux est un domaine de recherche visant la fouille, l\u2019extraction et la repr\u00e9sentation structur\u00e9e d\u2019une possible connaissance latente depuis un flux brut de donn\u00e9es issues des r\u00e9seaux sociaux.<\/p>\n

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Les projets de recherche et d\u00e9veloppement ne cessent d\u2019innover pour d\u00e9velopper des syst\u00e8mes sophistiqu\u00e9s dans le dessein de tirer profit de ces flux massifs circulant sur ces plateformes (i.e., analyse de sentiments et d\u2019opinions, gestion des vuln\u00e9rabilit\u00e9s, int\u00e9gration\/extraction d\u2019informations, gestion de faux profils, etc.). Et ce, au moyen de nouveaux algorithmes d\u00e9velopp\u00e9s ou bien d\u2019adaptation des algorithmes standards du domaine de l\u2019exploration des donn\u00e9es classique. <\/p>\n

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Aujourd\u2019hui, collecter et analyser les donn\u00e9es issues des r\u00e9seaux sociaux<\/strong> n\u2019est plus une finalit\u00e9 en elle-m\u00eame. C\u2019est la mani\u00e8re dont ces donn\u00e9es seront interpr\u00e9t\u00e9es pour pr\u00e9voir le futur et la capacit\u00e9 d\u2019\u00eatre en mesure d\u2019anticiper les pr\u00e9cautions n\u00e9cessaires qui constitue \u00e0 pr\u00e9sent l\u2019objectif ultime. De surcroit que rien n\u2019est aussi promettant \u00e0 une entreprise que la pr\u00e9vision des faits d\u00e9cisifs qui vont venir.  Etant donn\u00e9 que le pass\u00e9 ne peut \u00eatre chang\u00e9, il s\u2019est av\u00e9r\u00e9 alors opportun d\u2019anticiper le futur et prendre toutes les pr\u00e9cautions n\u00e9cessaires pour le dessiner \u00e0 son aise.<\/p>\n

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\"social<\/figure>\n
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Avanc\u00e9es des projets d\u2019exploration des donn\u00e9es<\/h2>\n
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Les mod\u00e8les pr\u00e9dictifs, permettent ainsi de d\u00e9tecter des caract\u00e9ristiques dans le texte servant comme donn\u00e9es en entr\u00e9e pour pr\u00e9voir le futur par biais de calcul de probabilit\u00e9s pr\u00e9voyant la reproduction ou le changement de ces derni\u00e8res. Effectivement, les syst\u00e8mes impl\u00e9mentant ces mod\u00e8les pr\u00e9dictifs ont montr\u00e9 au fil des ann\u00e9es des r\u00e9sultats impressionnants [1].  <\/p>\n

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Les projets de recherche et d\u00e9veloppement s\u2019int\u00e9ressant \u00e0 l\u2019analyse et l\u2019exploration des donn\u00e9es issues des r\u00e9seaux sociaux par moyen d\u2019outils sophistiqu\u00e9s del\u2019Apprentissage Automatique<\/strong> <\/a>combin\u00e9s aux techniques de la linguistique computationnelle ont ainsi prouv\u00e9 un futur prometteur. Effectivement, ils nous ont guid\u00e9s vers la d\u00e9couverte d\u2019incroyables pistes jamais explor\u00e9es ou prospect\u00e9es par l\u2019Extraction des informations classique malgr\u00e9 les d\u00e9fis que pr\u00e9sentent ces nouvelles sources d\u2019informations.<\/p>\n

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Les entreprises qui innovent dans ce secteur sont susceptibles d’\u00eatre admissibles \u00e0 plusieurs programmes de financement<\/strong>, notamment des subventions gouvernementales<\/strong><\/a>et des cr\u00e9dit d\u2019imp\u00f4t de RS&DE<\/strong><\/a>.<\/p>\n

Vous voulez en savoir plus sur les possibilit\u00e9s de financement pour votre projet ? Planifiez une consultation gratuite<\/strong><\/a> avec l’un de nos experts d\u00e8s aujourd’hui !<\/p>\n

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Contactez-Nous<\/a><\/div>\n<\/div>\n
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Sources :<\/u><\/strong><\/p>\n

    \n
  1. P. Watson,<\/strong> Exploring social networking: developing critical literacies.<\/li>\n
  2. S. Finlay, <\/strong>Predictive Analytics, Data Mining and Big Data. Myths, Misconceptions and Methods (1st ed.). Basingstoke: Palgrave Macmillan.<\/li>\n
  3. D. Aronson and T. Masters,<\/strong> Predictive-Model Based Trading Systems, Part 1<\/a>. System Trader Success.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Les donn\u00e9es des r\u00e9seaux sociaux sont disponibles en masse, et sont souvent \u00e9parses et parfois incompl\u00e8tes ! Cela est d\u00fb au manque d’algorithmes capables d’analyser ce nouveau type de donn\u00e9es pour en tirer profit. Exploration des donn\u00e9es des r\u00e9seaux sociaux C\u2019est gr\u00e2ce \u00e0 l\u2019apprentissage statistique que nous avons eu l\u2019habilit\u00e9 d\u2019embrasser le pouvoir magique et […]<\/p>\n","protected":false},"author":1,"featured_media":2972,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[236,539,2593,546,226],"tags":[239,2662,118],"expertise":[788],"class_list":["post-2294","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-developpement-de-logiciel","category-innovation","category-ntic","category-rsde","category-subventions","tag-financement","tag-ict-fr","tag-innovation","expertise-subventions-gouvernementales"],"acf":[],"yoast_head":"\nCollection et analyse des donn\u00e9es des r\u00e9seaux sociaux - Leyton Canada<\/title>\n<meta name=\"description\" content=\"La collecte de donn\u00e9es via les m\u00e9dias sociaux est devenue une monnaie pr\u00e9cieuse pour les entreprises. 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