MonkeyLearn news and announcements.

A practical explanation of a Naive Bayes classifier

The simplest solutions are usually the most powerful ones, and Naive Bayes is a good proof of that. In spite of the great advances of the Machine Learning in the last years, it has proven to not only be simple but also fast, accurate and reliable. It has been successfully used for many purposes, but it works particularly well with natural language processing (NLP) problems. […]

By |May 25th, 2017|News|0 Comments

Analyzing 10 years of startup news with Machine Learning

Analyzing startup news — part 3

This is the final part in a series where we use machine learning and natural language processing to analyze articles published in tech news sites in order to gain insights about the state of the startup industry. […]

By |May 11th, 2017|News|1 Comment

Introducing Google Sheets add-on for MonkeyLearn

Today, we’re excited to announce our brand new integration with Google Sheets!

Doing things with machine learning often feels like having superpowers. You can find out what people think about the different candidates on a major presidential election, analyze millions of hotel reviews to find out that London hotels have the worst food and […]

By |February 22nd, 2017|How To, News|0 Comments

Analyzing the conversation during the US Election Day

Donald Trump has been elected 45th president of the United States of America and the surprising outcome has been reflected on the conversation on social media.

We recently released a simple tool called Tarsier that uses machine learning to analyze the conversation around the US elections […]

By |November 9th, 2016|News|0 Comments

New Languages, teams and analyzing data with Excel & CSV files

Exciting news – we have finished integrating Chinese, Japanese, Korean and Arabic native support within MonkeyLearn. Now you can train and consume machine learning models for text analysis in these new languages.

You can select any of these new languages within the creation wizard of a MonkeyLearn module […]

By |June 14th, 2016|News|0 Comments

MonkeyLearn integration with Scrapinghub!

Crawling the web for huge amounts of data is a hard task. You have to deal with a wide range of problems such as extracting specific content from the sites you’re crawling, retrieving new links to follow, storing the data, avoiding getting blocked, and more.

Making sense of all the retrieved data it’s also damn hard. Let’s […]

By |April 14th, 2016|News|1 Comment

Making it easier to build text classifiers on MonkeyLearn

Our product team priority is to ensure that MonkeyLearn provides the best tools for creating texts classifiers and make the process as easy as possible. Here’s a quick rundown of some of the new features and improvements we’ve recently released:

Explore and fork public classifiers
Now you can explore the public classifiers created by the MonkeyLearn community. You can check out […]

By |March 1st, 2016|News|0 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

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

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