About Federico Pascual

COO & Co-Founder @MonkeyLearn. Machine Learning. @500startups B14. @Galvanize SoMa. TEDxDurazno Speaker. Wannabe musician and traveler.
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Building a personalized notification system for Help A Reporter Out (HARO)

Post inspired by Ari Meisel, founder of LessDoing.

Have you ever wanted to get your company featured in TIME Magazine, Reuters or Mashable? It could happen through Help a Reporter Out (HARO) and get this media coverage for free by answering HARO requests.

But why spend time going through every HARO query when it can be […]

By |September 6th, 2017|How To|8 Comments

Introducing Inbox Samples: saving your data for future training samples

Today we’re launching Inbox Samples, an exciting new feature that will make it much easier to improve the machine learning models built on our platform.

Now, whenever you send a new text to be analyzed by MonkeyLearn (via our API, integrations or user interface), the system will save your data within the Inbox of your […]

By |August 23rd, 2017|News|0 Comments

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|2 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

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|3 Comments

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 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|8 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