{"id":2734,"date":"2016-07-01T16:31:27","date_gmt":"2016-07-01T10:31:27","guid":{"rendered":"https:\/\/www.comtechadvisory.com\/?p=2734"},"modified":"2018-01-23T03:27:46","modified_gmt":"2018-01-22T21:27:46","slug":"deriving-business-value-big-data-using-sentiment-analysis","status":"publish","type":"post","link":"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/","title":{"rendered":"Deriving Business Value from Big Data using Sentiment analysis"},"content":{"rendered":"<p>[download id=&#8221;2735&#8243;]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u2018Big Data\u2019 are two small words that are widely used to describe the massive growth in data of all forms and that hold; the promise of delivering huge potential business impact. The question is, how?<\/p>\n<p>Today, and increasingly in the future, businesses are surrounded by masses of data and raw information. Some of this data is very relevant but much of it is not. Further, most of that data is unstructured in the form of email, documents, images and different types of social media, blogs, and so on. Unstructured data is notoriously difficult to access and query, it is scattered across many different locations and formats, and it requires some form of preprocessing before it can be analyzed and used. Yet, it is this unstructured type data that is primarily exploding in quantity, representing around 80 per cent of the annual growth of data and doubling in quantity every two years. <\/p>\n","protected":false},"author":2,"featured_media":2736,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[950,447,26,949,47],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deriving Business Value from Big Data using Sentiment analysis | Commodity Technology Advisory<\/title>\n<meta name=\"description\" content=\"\u2018Big Data\u2019 are two small words that are widely used to describe the massive growth in data of all forms and that hold; the promise of delivering huge potential business impact. The question is, how?  Today, and increasingly in the future, businesses are surrounded by masses of data and raw information. Some of this data is very relevant but much of it is not. Further, most of that data is unstructured in the form of email, documents, images and different types of social media, blogs, and so on. Unstructured data is notoriously difficult to access and query, it is scattered across many different locations and formats, and it requires some form of preprocessing before it can be analyzed and used. Yet, it is this unstructured type data that is primarily exploding in quantity, representing around 80 per cent of the annual growth of data and doubling in quantity every two years.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deriving Business Value from Big Data using Sentiment analysis | Commodity Technology Advisory\" \/>\n<meta property=\"og:description\" content=\"\u2018Big Data\u2019 are two small words that are widely used to describe the massive growth in data of all forms and that hold; the promise of delivering huge potential business impact. The question is, how?  Today, and increasingly in the future, businesses are surrounded by masses of data and raw information. Some of this data is very relevant but much of it is not. Further, most of that data is unstructured in the form of email, documents, images and different types of social media, blogs, and so on. Unstructured data is notoriously difficult to access and query, it is scattered across many different locations and formats, and it requires some form of preprocessing before it can be analyzed and used. Yet, it is this unstructured type data that is primarily exploding in quantity, representing around 80 per cent of the annual growth of data and doubling in quantity every two years.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"Commodity Technology Advisory\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CommodityTechnologyAdvisory\" \/>\n<meta property=\"article:published_time\" content=\"2016-07-01T10:31:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-01-22T21:27:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.comtechadvisory.com\/wp-content\/uploads\/2016\/07\/Deriving-Business-Value-from-Big-Data-using-Sentiment-Analysis.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"432\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Andrew Colby\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@comtechadvisory\" \/>\n<meta name=\"twitter:site\" content=\"@comtechadvisory\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Andrew Colby\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\"},\"author\":{\"name\":\"Andrew Colby\",\"@id\":\"https:\/\/www.comtechadvisory.com\/#\/schema\/person\/9809ff3e6a445adb0c68d5a8adbb9866\"},\"headline\":\"Deriving Business Value from Big Data using Sentiment analysis\",\"datePublished\":\"2016-07-01T10:31:27+00:00\",\"dateModified\":\"2018-01-22T21:27:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\"},\"wordCount\":11,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.comtechadvisory.com\/wp-content\/uploads\/2016\/07\/Deriving-Business-Value-from-Big-Data-using-Sentiment-Analysis.jpg\",\"keywords\":[\"analysis\",\"Big Data\",\"CTRM\",\"energybusiness value\",\"Etrm\"],\"articleSection\":[\"White Papers\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\",\"url\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/\",\"name\":\"Deriving Business Value from Big Data using Sentiment analysis | Commodity Technology Advisory\",\"isPartOf\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.comtechadvisory.com\/publications\/white-papers\/deriving-business-value-big-data-using-sentiment-analysis\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.comtechadvisory.com\/wp-content\/uploads\/2016\/07\/Deriving-Business-Value-from-Big-Data-using-Sentiment-Analysis.jpg\",\"datePublished\":\"2016-07-01T10:31:27+00:00\",\"dateModified\":\"2018-01-22T21:27:46+00:00\",\"description\":\"\u2018Big Data\u2019 are two small words that are widely used to describe the massive growth in data of all forms and that hold; the promise of delivering huge potential business impact. 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