Google Cloud Natural Language API gives developers a backstage ticket to sentiment analysis and more
Young man standing and gesturing image via Shutterstock
Google Cloud Platform has launched its Natural Language API into open beta. It can be used to extract information mentioned in text documents, news articles or blog posts and understand sentiment about products or services.
There’s a new addition to the Google machine learning APIs family! Google Cloud Platform’s Natural Language API offers support for a handful of languages, starting with English, Japanese and Spanish. This API promises to give developers a backstage ticket to sentiment and syntax analysis and entity recognition.
Natural Language API will come in handy if you want to do the following things:
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.
A sneak peek into the uses of Natural Language API
Sara Robinson, Firebase Developer Advocate at Google, explained the uses of Google’s Natural Language API in a blog post after the announcement of the beta release. She used The New York Times Top Stories API to gather data on the latest news stories, “built a Node server which calls the Top Stories API, sends the title and abstract for each article to the Natural Language API for entity analysis and inserts the associated article and entity data into a Google BigQuery table.”
Extracting entities is not the only thing Natural Language API can do; it also allows developers to perform sentiment analysis on a block of text and more.