All posts by Matt Kiser

Introduction to Sentiment Analysis Algorithms

Algorithmia's Guide to Sentiment Analysis Algorithms

Sentiment Analysis is the use of natural language processing, statistics, and text analysis to extract, and identify the sentiment of text into positive, negative, or neutral categories. We often see sentiment analysis used to arrive at a binary decision: somebody is either for or against something, users like or dislike something, or the product is good or bad.
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Emergent // Future: Looking Back, Looking Forward, and the Shape of Things to Come

Emergent Future: the year in artificial intelligenceIssue 36
And now back to our regularly scheduled programming… In the
last issue of 2016, we looked at self-driving cars, Zuckerberg’s AI assistant, and what’s new with IoT, drones, and chat bots

This week, we recap the year in artificial intelligence before looking ahead to what 2017 holds for AI, data science, and the shape of things to come

Plus, we check out the latest White House report on Artificial Intelligence, Automation, and the Economy Read More…

Emergent // Future: AMD Takes On NVIDIA, Recapping NIPS, and More

Emergent Future NIPS NVIDIA and AMDIssue 34
This week we look at
AMD’s effort to take on NVIDIA in the high performance computing space, recap what happened at NIPS2016, and highlight the best things to read that explore technology through the lens of artificial intelligence, data science, and the shape of things to come.

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