Difference between revisions of "Google Natural Language"
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* [[Natural Language Processing (NLP)]] | * [[Natural Language Processing (NLP)]] | ||
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| + | <b>AutoML Natural Language</b>: Support for tasks like classification, sentiment analysis, and entity extraction, as well as a range of file formats, including native and scanned PDFs. By way of refresher, AutoML Natural Language taps machine learning to reveal the structure and meaning of text from emails, chat logs, social media posts, and more. It can extract information about people, places, and events both from uploaded and pasted text or Google Cloud Storage documents, and it allows users to train their own custom AI models to classify, detect, and analyze things like sentiment, entities, content, and syntax. It furthermore offers custom entity extraction, which enables the identification of domain-specific entities within documents that don’t appear in standard language models. | ||
<youtube>ajmWGxAr9Wk</youtube> | <youtube>ajmWGxAr9Wk</youtube> | ||
Revision as of 08:04, 13 December 2019
Youtube search... | ...Google search
- Google Cloud AutoML Natural Language | Google
- Document Understanding AI | Google
- Natural Language Tools & Services
- Natural Language Processing (NLP)
AutoML Natural Language: Support for tasks like classification, sentiment analysis, and entity extraction, as well as a range of file formats, including native and scanned PDFs. By way of refresher, AutoML Natural Language taps machine learning to reveal the structure and meaning of text from emails, chat logs, social media posts, and more. It can extract information about people, places, and events both from uploaded and pasted text or Google Cloud Storage documents, and it allows users to train their own custom AI models to classify, detect, and analyze things like sentiment, entities, content, and syntax. It furthermore offers custom entity extraction, which enables the identification of domain-specific entities within documents that don’t appear in standard language models.
