State of the art text understanding for developers
Our Natural Language Processing API contains all the necessary text processing tools one might expect from an NLP API, including tokenization, sentence splitting, part-of-speech tagging and named entity recognition.
About Codeq Natural Language Processing API on Product Hunt
“State of the art text understanding for developers”
Codeq Natural Language Processing API launched on Product Hunt on December 14th, 2018 and earned 94 upvotes and 8 comments, placing #8 on the daily leaderboard. Our Natural Language Processing API contains all the necessary text processing tools one might expect from an NLP API, including tokenization, sentence splitting, part-of-speech tagging and named entity recognition.
On the analytics side, Codeq Natural Language Processing API competes within Web App, Productivity, API, Robots, Developer Tools and Artificial Intelligence — topics that collectively have 1.9M followers on Product Hunt. The dashboard above tracks how Codeq Natural Language Processing API performed against the three products that launched closest to it on the same day.
Who hunted Codeq Natural Language Processing API?
Codeq Natural Language Processing API was hunted by Russ Smith. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Codeq Natural Language Processing API including community comment highlights and product details, visit the product overview.
Russ Smith