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Both analyzers backed by Lucene and analyzers backed by Microsofts natural language processing technology are supported. These analyzers provide features such as text segmentation, word normalization, and entity recognition when processing text documents. The list of supported languages can be found in the Microsoft Azure Documentation. [8]
Azure Data Explorer is a fully-managed [1] big data analytics cloud platform [2] [3] and data-exploration service, [4] developed by Microsoft, [5] [6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
Microsoft Docs was a library of technical documentation for end users, developers, and IT professionals who work with Microsoft products. The Microsoft Docs website provided technical specifications, conceptual articles, tutorials, guides, API references, code samples and other information related to Microsoft software and web services.
Data source defines where the data comes from. There are various data sources available in RevoScaleR, such as text data, Xdf data, in-SQL data, and a spark dataframe. People can wrap their data in a data source object and use that as run analytics in different compute context. Different data sources are available in different compute context.
Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]
Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It is designed to provide high availability, scalability, and low-latency access to data for modern applications.
The term text analytics also describes that application of text analytics to respond to business problems, whether independently or in conjunction with query and analysis of fielded, numerical data. It is a truism that 80% of business-relevant information originates in unstructured form, primarily text. [ 9 ]
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