{"id":3480,"date":"2017-09-25T00:00:00","date_gmt":"2017-09-25T00:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/at-ignite-microsoft-is-updating-its-cognitive-services-collection-of-intelligent-apis"},"modified":"2025-06-25T07:18:33","modified_gmt":"2025-06-25T14:18:33","slug":"at-ignite-microsoft-is-updating-its-cognitive-services-collection-of-intelligent-apis","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/at-ignite-microsoft-is-updating-its-cognitive-services-collection-of-intelligent-apis\/","title":{"rendered":"At Ignite, Microsoft is updating its Cognitive Services collection of intelligent APIs"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Microsoft Cognitive Services enables developers to augment the next generation of applications with the ability to see, hear, speak, understand, and interpret needs using natural methods of communication. Think about the possibilities: being able to add vision and speech recognition, emotion and sentiment detection, language understanding, and search, to applications without having any data science expertise.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Today, we are excited to announce several service updates:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/text-analytics\/\"><strong>Text Analytics API<\/strong><\/a><strong>\u00a0is now generally available<\/strong>. Text Analytics is a cloud-based service that provides advanced natural language processing over raw text. It includes API functions such as sentiment analysis, key phrase extraction and language detection.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/bing-custom-search\/\"><strong>Bing Custom Search API<\/strong><\/a><strong>\u00a0will be generally available in October<\/strong>. Bing Custom Search lets you create a highly-customized targeted web search experience to deliver more relevant results from your targeted web space through a commercial grade service.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Bing Search APIs v7 will be will be generally available in October<\/strong>. Allowing you to bring the immense knowledge of the planet to your applications, the v7 update will provide several improvements, such as results coming back fast with improved performance for queries on the\u00a0<a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/bing-web-search-api\/\">Bing Web Search API<\/a>. New sorting and filtering options make it easier to find relevant results in news trending topics and image searches. Better error messages make it easy to troubleshoot and diagnose problem queries, and updated, modernized documentation make it easy bring the power of the Bing Search APIs to your applications.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">We plan to make\u00a0<strong>Language Understanding Intelligent Service<\/strong>\u00a0and\u00a0<strong>Microsoft Bot Framework<\/strong>, which contains everything you need to build and connect intelligent bots,\u00a0<strong>generally available later this year<\/strong>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">We\u2019re also adding\u00a0<strong>new capabilities<\/strong>\u00a0to our services:\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/qna-maker\/\">QnAMaker<\/a>\u00a0preview API is now enabling to build, train and publish a simple question and answer bot from product manuals.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">We\u2019re expanding Face API, Computer Vision API and Content Moderator in 7 additional regions \u2013 South Central US, West US2, East US, Brazil, North Europe, Australia East and East Asia.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"creating-a-highly-targeted-search-for-your-users\">Creating a highly targeted search for your users<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>As mentioned, we\u2019re excited to announce that Bing Custom Search will be generally available in October!<\/strong><br>With Bing Custom Search, you can create a highly-customized targeted web search experience, to deliver more relevant results from targeted web space through a commercial grade service.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Featuring a straightforward User Interface, Bing Custom Search enables you to create your own web search engine without a line of code. You can specify the slices of the web you want to draw from \u2013 or let cutting-edge AI technology help to identify them. Businesses of any size, hobbyists and entrepreneurs can design and deploy web search applications for any possible scenario.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example,&nbsp;<a href=\"https:\/\/www.amicus.io\/\">Amicus<\/a>&nbsp;has recently released a platform that changes the way charitable aid is funded and delivered, showing donors where every dollar is spent and giving non-profits real-time tools to report and measure performance. This allows donors to fund \u2018projects\u2019 instead of blindly giving money to an organization, and non-profits to build project requests based on measurable outcomes. This transition presented a very unique challenge: how to enable donors to research and learn about the projects and activities performed by non-profits? Amicus needed to help donors Learn, Find and Fund projects that were of interest and relevant to them, something complex with traditional search engines.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With Bing Custom Search, part of Microsoft Cognitive Services, Amicus has been able to identify its own set of relevant web pages in advance: when users have a single concept of interest (like \u2018water\u2019, \u2018education\u2019 or \u2018India\u2019), Bing Custom Search is able to deliver highly relevant results in the context of global aid.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThis is exactly what our audience needs in order to learn about a broader range of important work performed by relief organizations, beyond those the donors currently know about. Bing Custom Search, part of Microsoft Cognitive Services, delivers a \u2018Learn and Find\u2019 experience in ways never before possible.\u201d \u2013 says Beth Katz, Chief Product Officer at Amicus.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"get-started-with-bing-custom-search\">Get Started with Bing Custom Search<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To easily get started with Bing Custom Search, you can look at the\u00a0<a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/bing-custom-search\/\">service page<\/a>, refer to the\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-custom-search\/overview\">documentation<\/a>\u00a0and start building a great experience with the\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-custom-search\/quickstart\">quick start guide<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"bringing-text-to-life-in-your-application\">Bringing text to life in your application<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We are excited to announce that&nbsp;<a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/text-analytics\/\">Text Analytics<\/a>&nbsp;is now generally available in the&nbsp;<a href=\"https:\/\/portal.azure.com\/\">Azure Portal<\/a>, and now available in four additional regions: South Central US, East US, West Europe, and Southeast Asia.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Text Analytics API<\/strong>&nbsp;is a cloud-based service that provides advanced natural language processing over raw text. Text Analytics API has three main functions: sentiment analysis, key phrase extraction, and language detection.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Sentiment Analysis \u2013 Find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. This API returns a sentiment score between 0 and 1 for each document, where 1 is the most positive. Our models are pretrained using an extensive body of text and natural language technologies from Microsoft.\u00a0<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Key Phrase Extraction \u2013 Automatically extract key phrases to quickly identify the main points. For example, for the input text \u2018The food was delicious and there were wonderful staff\u2019, the service returns the main talking points: \u2018food\u2019 and \u2018wonderful staff\u2019.\u00a0<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Language Detection \u2013 For up to 120 languages, detect which language the input text is written in and report a single language code for every document submitted on the request.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Some customers scenarios where Text Analytics is used are customer feedback analytics, as an enricher to search scenarios, and in conjunction with LUIS and the Bot Framework (analyzing sentiment of a conversation over time).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">More and more customers are using Text Analytics API:&nbsp;<a href=\"https:\/\/customers.microsoft.com\/en-us\/story\/brainshark\">Brainshark<\/a>&nbsp;is a cloud-based sales training and readiness platform that helps sales people achieve mastery in the presentation of sales materials to clients, slashing the costs and resources needed for training and maximizing the effectiveness of sales engagements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Brainshark is now creating a training platform that allows sales representatives to perfect their pitch through video and Cognitive Services. Utilizing Face API, Emotion API, and Text Analytics, it\u2019s possible to analyze their pitch, and feed a Machine Learning model to provide feedback on their performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cNow, companies are simply pushing sales people into the field and they\u2019re learning through experience\u2014 a ridiculously expensive way to train. Every deal lost due to lack of confidence costs the company real money. If we can minimize that and actually get sales people ready to sell, it\u2019ll have a huge impact on productivity,\u201d says Jim Ninivaggi, Senior Vice President, Business Development at Brainshark.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"get-started-with-text-analytics-api\">Get Started with Text Analytics API<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the best way to get started with Text Analytics API is to look at our Quick Start guides. Here is a snippet from the&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/csharp\">C# Quickstart<\/a>&nbsp;that show how to consume the API using the C# SDK.&nbsp; We also have quickstart in&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/java\">Java<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/nodejs\">Node.js<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/python\">Python<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/ruby\">Ruby<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/quickstarts\/php\">PHP<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s say that I want to be able to explore the most important phrases, sentiment and language from feedback I receive from my customers with Text Analytics API.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; auto-links: false; gutter: false; title: ; quick-code: false; notranslate\" title=\"\">\n\/\/ EXTRACTING LANGUAGE\nLanguageBatchResult result = client.DetectLanguage( \n    new BatchInput( \n        new List() \n            { \n                new Input(\"1\", \"This is a document written in English.\"), \n                new Input(\"2\", \"Este es un document escrito en Espa\u00f1ol.\"), \n                new Input(\"3\", \"\u8fd9\u662f\u4e00\u4e2a\u7528\u4e2d\u6587\u5199\u7684\u6587\u4ef6\") \n            })); \n\/\/ Printing language results. \nforeach (var document in result.Documents) \n{ \n    Console.WriteLine(\"Document ID: {0}, Language:{1}\",\n                       document.Id, document.DetectedLanguages[0].Name); \n} \n\/\/ GETTING KEY PHRASES \nKeyPhraseBatchResult result2 = client.KeyPhrases( \n    new MultiLanguageBatchInput( \n        new List() \n            { \n                new MultiLanguageInput(\"ja\", \"1\", \"\u732b\u306f\u5e78\u305b\"), \n                new MultiLanguageInput(\"de\", \"2\", \n                              \"Fahrt nach Stuttgart und dann zum Hotel zu Fu.\"), \n                new MultiLanguageInput(\"en\", \"3\", \"My cat is stiff as a rock.\"), \n                new MultiLanguageInput(\"es\", \"4\", \"A mi me encanta el f\u00fatbol!\") \n            })); \n\/\/ Printing keyphrases \nforeach (var document in result2.Documents) \n{ \n    Console.WriteLine(\"Document ID: {0} \", document.Id); \n    Console.WriteLine(\"t Key phrases:\"); \n    foreach (string keyphrase in document.KeyPhrases) \n        { Console.WriteLine(\"tt\" + keyphrase);  } \n} \n\/\/ SENTIMENT ANALYSIS \nSentimentBatchResult result3 = client.Sentiment( \n    new MultiLanguageBatchInput( \n        new List() \n            { \n                new MultiLanguageInput(\"en\", \"0\", \"I had the best day of my life.\"), \n                new MultiLanguageInput(\"en\", \"1\", \n                       \"This was a waste of my time. The speaker put me to sleep.\"), \n                new MultiLanguageInput(\"es\", \"2\", \n                        \"No tengo dinero ni nada que dar...\"), \n                new MultiLanguageInput(\"it\", \"3\", \n                         \"L'hotel veneziano era meraviglioso. \n                          \u00c8 un bellissimo pezzo di architettura.\"), \n            })); \n\n\/\/ Printing sentiment results \nforeach (var document in result3.Documents) \n{ \n    Console.WriteLine(\"Document ID: {0} , Sentiment Score: {1:0.00}\", \n                      document.Id, document.Score); \n} \n\n<\/pre><\/div>\n\n\n<p class=\"wp-block-paragraph\">Don\u2019t hesitate to refer to the&nbsp;<a href=\"https:\/\/go.microsoft.com\/fwlink\/?LinkID=759346\">API definitions<\/a>&nbsp;for technical documentation for the APIs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We also developed a very interesting&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/tutorials\/tutorial-power-bi-key-phrases\">tutorial here<\/a>&nbsp;that integrates Text Analytics into Power BI to extract the most important phrases and sentiment from customer feedback. You\u2019ll see how we\u2019re using a custom Power Query function and creating a nice Word Cloud from these phrases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Happy coding!<br>&nbsp;<br>The Microsoft Cognitive Services Team<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft Cognitive Services enables developers to augment the next generation of applications with the ability to see, hear, speak, understand, and interpret needs using natural methods of communication. Think about the possibilities: being able to add vision and speech recognition, emotion and sentiment detection, language understanding, and search, to applications without having any data science expertise.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1454],"tags":[],"audience":[3055,3056],"content-type":[1511],"product":[2757],"tech-community":[],"topic":[],"coauthors":[97],"class_list":["post-3480","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning","audience-developers","audience-it-implementors","content-type-best-practices","product-azure-ai-search","review-flag-1680286581-295","review-flag-1680286581-364","review-flag-1-1680286581-825","review-flag-2-1680286581-601","review-flag-3-1680286581-173","review-flag-4-1680286581-250","review-flag-7-1680286581-146","review-flag-machi-1680286585-314","review-flag-never-1680286580-606","review-flag-new-1680286579-546"],"yoast_head":"<!-- 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