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