List of Tagging APIs for Machine Learning Projects
Free and proprietary machine learning APIs are a good way to get started AI projects without much efforts. Although there are hard to find high quality and performance APIs, like Tagging APIs. We compiled a list of APIs to you start your machine learning (ML) project right now. We collected a list of public, free and proprietary Tagging NLP APIs, a large curated repository from sentiment analysis, summarization, to law contract analysis APIs. Covering a wide gamma of NLP use cases, from author profiling, classification, to questions and answers.
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Open PermID Open Calais Tagging
Open Calais from Thomson Reuters attaches intelligent metadata to unstructured content to enable text analytics. The Calais natural language processing engine automatically analyzes and tags your input files in such a way that your consuming application can both easily pinpoint relevant data, and effectively leverage the invaluable intelligence and insights contained within the text. Thomson Reuters Open Calais offers content creators a way tag people, places, companies, facts, and events to increase conent value, accessibility and interoperability.
Open PermID Open Calais Tagging
Open Calais from Thomson Reuters attaches intelligent metadata to unstructured content to enable text analytics. The Calais natural language processing engine automatically analyzes and tags your input files in such a way that your consuming application can both easily pinpoint relevant data, and effectively leverage the invaluable intelligence and insights contained within the text. Thomson Reuters Open Calais offers content creators a way tag people, places, companies, facts, and events to increase conent value, accessibility and interoperability.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.