Quick Analysis of Your Customer Support Twitter Handle

Posted by Sinan Ozdemir on 10/3/17

You already know that a decision that is backed by some analysis and data is usually better than a decision that comes purely from the gut. So when you need to make a decision on ways of improving your customer success experience, you need some data to work with. Most organizations employ some twitter usage in their customer success, some more than others. That’s why it’s important to do some analysis on incoming tweets and how well they are replied to.

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Topics: Artificial Intelligence, natural language processing, Customer Support, data visualization

The Beginner’s Guide to Text Vectorization

Posted by Divya Susarla on 9/27/17

This blog post was originally posted on MonkeyLearn by Rodrigo Stecanella

Since the beginning of the brief history of Natural Language Processing (NLP), there has been the need to transform text into something a machine can understand. That is, transforming text into a meaningful vector (or array) of numbers. The de-facto standard way of doing this in the pre-deep learning era was to use a bag of words approach.

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Topics: Machine Learning, natural language processing, text vectorization

MILABOT and the Amazon Alexa Prize Competition

Posted by Shayaan Abdullah on 9/18/17

In 2016 Amazon inaugurated the Alexa Competition dedicated to “accelerating the field of conversational AI”, with the winner to be determined in late 2017. As part of the competition, university research teams attempted to build a socialbot that could converse coherently and engagingly with humans on popular topics for 20 minutes.

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Topics: Artificial Intelligence, Deep Learning, Machine Learning, Reinforcement Learning, natural language processing