How to create text classifiers with Machine Learning

Building a quality machine learning model for text classification can be a challenging process. You need to build a training dataset, test different parameters for your model, fix the confusions, among other things.

On this post, we will describe the process on how you can successfully train text classifiers with machine learning using MonkeyLearn […]

By |January 31st, 2017|Guides|0 Comments

Training a sentiment analysis classifier using a web scraping visual tool

Contributed by Quentin Simms from ParseHub.

In a previous blog post, you learned how to make quick work out of training and deploying your own custom sentiment analysis model. In the past, this kind of project would have taken a team of machine learning experts a long time to finish, and it can now be […]

By |September 22nd, 2016|Guides, Text Classification|1 Comment

Analyzing #first7jobs tweets with MonkeyLearn and R

Contributed by Maëlle Salmon, creator and maintainer of MonkeyLearn R package.

Have you tweeted about your #firstsevenjobs? I did!

#firstsevenjob and #first7jobs tweets initial goal was to provide a short description of the 7 first activities people were paid for. It was quite fun to read them in my timeline! Of course the hashtag was also used […]

By |September 1st, 2016|Applications, Guides, How To, Text Classification|10 Comments

Building a Twitter bot with PHP and Machine Learning

The amazing people from Codecourse have created this step-by-step tutorial on how to create a Twitter bot. It uses uses sentiment analysis to reply to mentions with a happy, neutral or sad emoji. For creating this Twitter bot Alex used PHP and MonkeyLearn. […]

By |July 5th, 2016|Guides|0 Comments

The Divided Kingdom: a machine learning analysis on the Brexit result

Today was a day for the history books. The UK has voted to leave the European Union and opened a deep crack in the heart of Europe. As a consequence of this result, Prime Minister David Cameron will step down by October urging for a fresh leadership.

At this point nobody knows the repercussions of […]

By |June 24th, 2016|Guides|6 Comments

The Definitive Guide to Natural Language Processing

A computer would deserve to be called intelligent if it could deceive a human into believing that it was human. Alan Turing.

When I was a child, I read the book The analytical Engine – Computers Past, Present and Future, by Jeremy Bernstein. Among fascinating concepts such as Turing Machines or the Pascaline, Bernstein mentions […]

By |October 29th, 2015|Guides|19 Comments

A Gentle Guide to Machine Learning

Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed.

Got it? We can make machines learn to do things! The first time I heard that, it blew my mind. That means that we can program computers to learn […]

By |August 27th, 2015|Guides|20 Comments