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|24 Comments

The future of AI is on the cloud

Contributed by Cecilia Abadie, Director at APX Labs.

Trends are a great way to predict the future, and predicting the future gives you a chance to be ahead of the curve and make the right decisions for the future of your product or service.

Back in 2008, Nicholas Carr predicted that the future of the internet […]

By |October 16th, 2015|Applications|0 Comments

HashRobot: a social media assistant built with MonkeyLearn

Contributed by Ryan Smith, co-creator of HashRobot.

HashRobot is a social media assistant we built with MonkeyLearn that helps Twitter users pick the right hashtags for their tweets. With HashRobot it’s easy to identify the most popular hashtags within a certain topic. Twitter users can add these hashtags to their tweets to have an edge in getting more views […]

By |October 2nd, 2015|Applications|4 Comments

New Sentence Extractor

Good news, everyone! We’ve just released a new extractor: Sentence Extractor. This new module allows to separate a text into its sentences. In other words, you can process things like reviews or news articles and get an array of the sentences. […]

By |September 28th, 2015|News|1 Comment

Building a SEO tool with Machine Learning

A few weeks ago, Moz CEO Rand Fishkin approached MonkeyLearn team with a question which later turned into a project.

The goal was to build an online tool that provides great value to the SEO industry. Also, we wanted to showcase what can be developed with machine learning technologies by using MonkeyLearn.

The idea was to build a simple web […]

By |September 17th, 2015|How To|1 Comment

Documentation and community manifesto

We believe that documentation is one of the most critical assets that a developer-focused product can create.

A clear and well-written documentation makes it easy for developers to understand an API. A thoughtful documentation makes it faster to get answers to questions. And a robust documentation saves developers huge amounts of time.

We feel that superb […]

By |September 10th, 2015|News|2 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|23 Comments

Sentiment Analysis APIs Benchmark

Sentiment analysis is a powerful example of how machine learning can help developers build better products with unique features. In short, sentiment analysis is the automated process of understanding if text written in a natural language (English, Spanish, etc.) is positive, neutral, or negative about a given subject. Nowadays, we have many instances where […]

By |August 13th, 2015|Text Classification|3 Comments

New Keyword Extractor: smarter and more flexible

We are excited to announce that we have made several improvements to our Keyword Extractor. You can try it for free here, you just need a MonkeyLearn account.

This module extracts keywords from text in English. Keywords can be compounded by one or more words and are defined as the important topics in your content and can be used to index […]

By |May 20th, 2015|News|0 Comments

Hacker News categorizer with MonkeyLearn

We are big fans of Hacker News here at MonkeyLearn. We read HN on a daily basis, but not all of us have the same interests; some are more interested news related to programming, and others are more interested in news related to startup and business.

So, what if we can read Hacker News but only see relevant news related […]

By |April 27th, 2015|How To|4 Comments