Flair vs Google Cloud Natural Language API: What are the differences?
Developers describe Flair as "A simple framework for natural language processing". Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification. On the other hand, Google Cloud Natural Language API is detailed as "Derive insights from unstructured text using Google machine learning". You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Flair and Google Cloud Natural Language API belong to "NLP / Sentiment Analysis" category of the tech stack.
Flair is an open source tool with 6.52K GitHub stars and 665 GitHub forks. Here's a link to Flair's open source repository on GitHub.