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Google Cloud Natural Language API vs FastText: What are the differences?
Developers describe Google Cloud Natural Language API 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. On the other hand, FastText is detailed as "Library for efficient text classification and representation learning". It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
Google Cloud Natural Language API and FastText can be categorized as "NLP / Sentiment Analysis" tools.
Pros of FastText
- Simple1
Pros of Google Cloud Natural Language API
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Cons of FastText
- No step by step API support1
- No in-built performance plotting facility or to get it1
- No step by step API access1
Cons of Google Cloud Natural Language API
- Multi-lingual2