{"id":2545,"date":"2021-11-10T19:00:06","date_gmt":"2021-11-10T18:00:06","guid":{"rendered":"https:\/\/dev.littlebigcode.fr\/cas-client\/detection-de-tendance-sur-les-reseaux-sociaux\/"},"modified":"2021-11-16T17:20:22","modified_gmt":"2021-11-16T16:20:22","slug":"trend-detection-social-networks","status":"publish","type":"cas-client","link":"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/","title":{"rendered":"Trend detection on social networks"},"content":{"rendered":"<style>\nh3 {color : #1CACE4}<br \/><\/style>\n<h3><strong>Context and problematic<\/strong><\/h3>\n<p><\/p>\n<p>In an increasingly competitive industry, our client wishes to analyze the content of social networks, to detect future trends.<\/p>\n<p><\/p>\n<h3><strong>Goals<\/strong><\/h3>\n<p><\/p>\n<p>Collect a very large amount of data through social networks.<br \/>\nGrasp changes in target audiences.<br \/>\nDetect new consumer segments.<br \/>\nAnticipate ruptures and changes in habits and behaviors.<\/p>\n<h3><\/h3>\n<p><\/p>\n<h3><strong>Our intervention<\/strong><\/h3>\n<p><\/p>\n<p>2 Data Scientist, 1 Data Engineer<\/p>\n<ul>\n<li>Implementation of Datalake and data pipeline with automated data collection<\/li>\n<li>Development of text and image analysis algorithms<\/li>\n<li>Sentiment analysis and scoring of collected data<\/li>\n<li>Integration of machine learning algorithms for better prediction of trends<\/li>\n<li>Development of the visualization application in reactJS and VueJS<\/li>\n<\/ul>\n<p><\/p>\n<h3><strong>R\u00e9sults<\/strong><\/h3>\n<p><\/p>\n<p>Functional platform with updated information in real time.<br \/>\nOur client&#8217;s marketing team uses it on a daily basis!<br \/>\nA V2 with a personalized marketing campaign function is considered.<\/p>\n<p><\/p>\n<h3><strong>Technical environment<\/strong><\/h3>\n<p><\/p>\n<p>Python &#8211; Pandas &#8211; Numpy &#8211; Sklearn &#8211; Tensorflox &#8211; Keras &#8211; Pytorch<br \/>\nCassandra &#8211; Hbase &#8211; ElasticSearch &#8211; Apache Kafka<br \/>\nGCP<br \/>\nReactJS &#8211; VueJS<br \/>\nGit <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Context and problematic In an increasingly competitive industry, our client wishes to analyze the content of social networks, to detect future trends. Goals Collect a very large amount of data through social networks. Grasp changes in target audiences. Detect new consumer segments. Anticipate ruptures and changes in habits and behaviors. Our intervention 2 Data Scientist, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1654,"comment_status":"closed","ping_status":"open","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.7.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Trend detection on social networks | LittleBigCode - Data &amp; AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Trend detection on social networks | LittleBigCode - Data &amp; AI\" \/>\n<meta property=\"og:description\" content=\"Context and problematic In an increasingly competitive industry, our client wishes to analyze the content of social networks, to detect future trends. 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Our intervention 2 Data Scientist, [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/\" \/>\n<meta property=\"og:site_name\" content=\"LittleBigCode.fr\" \/>\n<meta property=\"article:modified_time\" content=\"2021-11-16T16:20:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dev.littlebigcode.fr\/wp-content\/uploads\/2021\/07\/Tendance-RSS.png\" \/>\n\t<meta property=\"og:image:width\" content=\"3000\" \/>\n\t<meta property=\"og:image:height\" content=\"2000\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/\",\"url\":\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/\",\"name\":\"Trend detection on social networks | LittleBigCode - Data & AI\",\"isPartOf\":{\"@id\":\"https:\/\/dev.littlebigcode.fr\/#website\"},\"datePublished\":\"2021-11-10T18:00:06+00:00\",\"dateModified\":\"2021-11-16T16:20:22+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/dev.littlebigcode.fr\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Trend detection on social networks\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/dev.littlebigcode.fr\/#website\",\"url\":\"https:\/\/dev.littlebigcode.fr\/\",\"name\":\"LittleBigCode.fr\",\"description\":\"AI Solution Creator\",\"publisher\":{\"@id\":\"https:\/\/dev.littlebigcode.fr\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/dev.littlebigcode.fr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/dev.littlebigcode.fr\/#organization\",\"name\":\"LittleBigCode\",\"url\":\"https:\/\/dev.littlebigcode.fr\/\",\"sameAs\":[\"https:\/\/www.linkedin.com\/company\/littlebigcode\/\",\"https:\/\/www.youtube.com\/channel\/UCTEax-7nR6n2zzgL4bz3fWQ\",\"https:\/\/medium.com\/hub-by-littlebigcode\"],\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/dev.littlebigcode.fr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/dev.littlebigcode.fr\/wp-content\/uploads\/2021\/08\/Logo-LBC-AISC-format-carre\u0301.png\",\"contentUrl\":\"https:\/\/dev.littlebigcode.fr\/wp-content\/uploads\/2021\/08\/Logo-LBC-AISC-format-carre\u0301.png\",\"width\":768,\"height\":768,\"caption\":\"LittleBigCode\"},\"image\":{\"@id\":\"https:\/\/dev.littlebigcode.fr\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Trend detection on social networks | LittleBigCode - Data & AI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/trend-detection-social-networks\/","og_locale":"en_US","og_type":"article","og_title":"Trend detection on social networks | LittleBigCode - Data & AI","og_description":"Context and problematic In an increasingly competitive industry, our client wishes to analyze the content of social networks, to detect future trends. 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