The Microsoft Azure Machine Learning Text Analytics API is used to detect sentiment, key phrases, topics, and language from text. It supports 120 languages, and does not require training data. 4 paid plans are available, and a starter free plan is available as well. The Text Analytics API uses JSON for data exchange, and requires API Keys for authentication.
The following is a list of SDKs from our SDK directory that matched your search term. Though your definition of an SDK may differ, in our world, we define SDKs as platform- specific tools for consuming existing APIs of the sort we list in our API directory. For example, the Ruby SDK for consuming the Twitter Ads API. If you think an SDK, API, or other asset is missing from our directory, be sure to check our guidelines for making contributions to ProgrammableWeb.
The Microsoft Azure Data Lake Analytics Node.js SDK interacts with the API to manage Azure Data Lake Analytics accounts. Learn more about Azure Data Lake at https://docs.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-overview
The Microsoft Azure Data Lake Analytics Java SDK interacts with the API to create an account that organizes folders, uploads and downloads data files, deletes an account, and works with jobs. To learn more about Azure Data Lake Analytics, visit https://docs.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-overview
The Microsoft Azure Data Lake Analytics Python SDK interacts with the API to develop a job, reading a tab in separated values, using a TSV file. Then, the job is converted into a comma-separated values in CSV file.
The Parature C# SDK by Microsoft interacts with the API to access customer relationship management features, such as account, product, asset, chat, CSR, customer, ticket, download, and article. It is available on GitHub with semantic versioning and NuGet. Sample usage presents how to retrieve entities from the server and modify fields.