Adding machine learning to a serverless data analysis pipeline Google Cloud Big Data and Machine Learning Blog Google Cloud Platform

#artificialintelligence

In the right architecture, machine-learning functionality takes data analytics to the next level of value. Editor's note: This guest post (translated from Italian and originally published in late 2016) by Lorenzo Ridi, of Google Cloud Platform partner Noovle of Italy, describes a POC for building an end-to-end analytic pipeline on GCP that includes machine-learning functionality. "Black Friday" is traditionally the biggest shopping day of the year in the United States. Black Friday can be a great opportunity to promote products, raise brand awareness and kick-off the holiday shopping season with a bang. During that period, whatever the type of retail involved, it's also becoming increasingly important to monitor and respond to consumer sentiment and feedback across social media channels.


Google Assistant can order around LG's connected appliances

Engadget

LG has placed its trust on Google Assistant and has given it the power to control its smart appliances. While it teamed up with Amazon earlier this year to give its refrigerators built-in access to Alexa, its partnership with Google is much bigger in scale. Now, you can control any of the company's 87 WiFi-connected smart home appliances by barking out orders through a Google Home speaker or through a compatible iOS or Android smartphone. Once you're done setting voice control up through LG's SmartThinQ app, you can use commands within a Home speaker's range or through a phone to tell your fridge to make more ice or to tell your AC to adjust the temperature. If you have an LG washing machine, you can ask Assistant how much time is still left before your load is done.


Sentiment Analysis of 11 Million Tweets from Apple Live 2014 - Going beyond positive and negative

@machinelearnbot

This blog was originally published on our Text Analysis blog, the blog post set out to analyze and visualize 11 million tweets collected around the time of and during Apple Live 2014. Apple Live probably got off to the worst start possible earlier this year. Most of us who tried to log on to watch the much-anticipated launch were first, forced to watch the live feed in Safari and second, greeted with the TV Truck Schedule Screen... To add to this Apple also made a complete mess of the audio. We were left sitting refreshing the page, waiting for the stream to start while being subjected to an audio visual nightmare, described brilliantly by this "fan" below: To simulate the #applelive experience, open up several separate YouTube vids, play them simultaneously, minimize, stare at a test pattern. At AYLIEN, we gathered 11 million tweets mentioning'Apple', 'iPhone', 'iOS', 'iPad', 'Mac', 'iPod', 'Macbook', 'iCloud', 'OS X', 'iWatch' and '#AppleLive' from the 4th of September to the 10th of September with a view of analyzing the tweets to gain insight into the voice of Apple Followers.


Twitter sentiment analysis? Available classified dataset for supervised learning? • /r/MachineLearning

@machinelearnbot

I want to play around with twitter sentiment analysis and my main hesitation is on obtaining a dataset that's been classified for supervised learning. Do you know if a decent one exists already, or would I have to create one myself (or use mechical turk)?


Sentiment Analysis on Social Network Data (Twitter, Facebook, etc.)

#artificialintelligence

Sentiment analysis is a useful service for just about any business. It is always valuable to know whether your customers are saying positive or negative things about you. This gives you more flexibility to start with their sample and then tweak it to your needs. Then you would deploy it yourself and call it yourself.