Google Cloud Natural Language API

Natural language API using Google machine learning

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#5 Product of the WeekJuly 21, 2016
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Ben Tossell@bentossell · Partner, The Upstarters
Yup, seems to work(ish) - tried a couple of times and 'Product Hunt' came up as an organisation before, not this time though... You can read the launch blog post here Would love to hear from @apoorvsaxena1 on this !
Jon Callahan@jondcallahan · Web Developer
@bentossell Happy birthday 🎂
Ben Tossell@bentossell · Partner, The Upstarters
@jondcallahan haha thanks!
Apoorv SaxenaMaker@apoorvsaxena1 · Product Manager, Google
@bentossell Happy belated birthday! This is tough one. The model determines entity type based on how and where entity occurs in relationship to others in the sentence. For example, changing the preposition "in" (in the Startbucks) with "at" changes the entity type to person - because you could be working for a person (manager) at the Starbucks.
Chafik H'nini@ch4fik · Founder, Apiloop
Do you know when it is available for French language ?
Alexandre Sartini@asatwork · Founder of Qui connaît un bon
@ch4fik definitely waiting for French as well
Apoorv SaxenaMaker@apoorvsaxena1 · Product Manager, Google
@ch4fik We are working on adding additional language support in near future. Stay tuned.
Chafik H'nini@ch4fik · Founder, Apiloop
@apoorvsaxena1 As I am curious, what is the process of supporting a new language ? Are there language-specific rules like grammar to implement or is it just filling a kind of dictionary ?
Daniel F Lopes@danflopes · I help build products faster @Whitesmith
"Initial support for English, Spanish and Japanese. It includes: * Sentiment Analysis: Understand the overall sentiment of a block of text * Entity Recognition: Identify the most relevant entities for a block of text and label them with types such as person, organization, location, events, products and media * Syntax Analysis: Identify parts of speech and create dependency parse trees for each sentence to reveal the structure and meaning of text" The amount of applications is enormous. 💪
Miron Vranjes@mironv · PM at Facebook. Hacker. Pilot.
This is exactly what I've been looking for! Right now, LUIS and Wit.ai mostly require you to route your entire chat stream through them, making it difficult to do hybrid approaches where you can clean up chat structure via pattern matching and then try and decipher using NLP. An alternative approach is to use Stanford's CoreNLP for this, but the sheer size of it makes it impractical for some cloud deployments like Heroku so a REST API is nicer. I'm curious to see how their NER compares to the Stanford one--the auto-retrieval of wikipedia URLs is a nice touch.
Apoorv SaxenaMaker@apoorvsaxena1 · Product Manager, Google
@mironv Look forward to your feedback!
Rotem Yakir@rotemthegolfer · Guggy CEO - Make your friends laugh