Federico Pascual

90 Flips | 2 Magazines | 10 Likes | @feconroses | Machine Learning. TEDxDurazno Speaker. Wannabe musician and traveler. Love monkeys. Stay Hungry. Stay Foolish.

Keep tabs on competitors with a customized Product Hunt notifications bot

In a competitive tech industry, it’s important to regularly scan the lay of the land to spot trends and stay a step ahead of your rivals. Reading …

The Beginner’s Guide to Text Vectorization

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 …

10 ways Machine Learning is influencing the customer journey

As a business development person in a Machine Learning company, I get confronted every day with the changes happening in the role of sales.<p>As …

Building a personalized notification system for Help A Reporter Out (HARO)

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 …

Introducing Inbox Samples: saving your data for future training samples

Today we’re launching <i>Inbox Samples</i>, an exciting new feature that will make it much easier to improve the machine learning models built on our …

Getting started with Python Machine Learning

Machine learning is eating the world right now. Everyone and their mother are learning about machine learning models, classification, neural …

MonkeyLearn + Zapier Integration | MonkeyLearn Blog

We are excited to announce our MonkeyLearn integration with Zapier!<p><b>Wouldn’t be amazing if you had a simple idea on how to automate a manual workflow</b> …

An introduction to Support Vector Machines (SVM)

So you’re working on a text classification problem. You’re refining your training set, and maybe you’ve even tried stuff out using Naive Bayes. But …

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 …

Analyzing 10 years of startup news with Machine Learning

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 …

Filtering startup news with Machine Learning

On this new post series, we will analyze hundreds of thousands of articles from TechCrunch, VentureBeat and Recode to discover cool <b>trends and …

Introducing Google Sheets add

Today, we’re excited to announce our brand new integration with Google Sheets!<p>Doing things with machine learning often feels like having superpowers. …

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 define the tags that you will use, gather …

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 …

Donald Trump vs Hillary Clinton: sentiment analysis on Twitter mentions

Election day looms closer and closer every week. US Politics are rapidly becoming the preferred conversation topic for millions of Americans and …

Know your followers with Machine Learning

<i>Tell me who your followers are and I tell you who you are.</i><p>You have lots of followers, congrats! You’re popular, maybe an influencer. But, do you …

Training a sentiment analysis classifier using a web scraping visual tool

<i>Contributed by Quentin Simms from ParseHub.</i><p>In a previous blog post, you learned how to make quick work out of training and deploying your own custom …

Analyzing #first7jobs tweets with MonkeyLearn and R | MonkeyLearn Blog

<i>Contributed by Maëlle Salmon, creator and maintainer of MonkeyLearn R package.</i><p>Have you tweeted about your #firstsevenjobs? I did!<p><i>#firstsevenjob</i> and</i> …

Machine Learning over 1M hotel reviews finds interesting insights

On a previous post we learned how to train a machine learning classifier that is able to detect the different aspects mentioned on hotel reviews. …

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 …

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 …

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

Exciting news – we have finished integrating <i>Chinese, Japanese, Korean and Arabic</i> native support within MonkeyLearn. Now you can train and consume …

Creating an Aspect Analysis from reviews using Machine Learning

Recently we walked you through on how to train a sentiment analysis classifier for hotel reviews using Scrapy and MonkeyLearn. This tutorial is a …

Creating a sentiment analysis model with Scrapy and MonkeyLearn | MonkeyLearn Blog

Data is everywhere. And in massive quantities. We are currently in an era of data explosion, where millions of tweets, articles, comments, reviews …

The Definitive Guide to Natural Language Processing

<i>A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.</i> Alan Turing.<p>When I was a child, I …

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 …

The future of AI is on the cloud

<i>Contributed by Cecilia Abadie, Director at APX Labs.</i><p>Trends are a great way to predict the future, and predicting the future gives you a chance to be …

HashRobot

<i>Contributed by Ryan Smith, co-creator of HashRobot.</i><p>HashRobot is a social media assistant we built with MonkeyLearn that helps Twitter users pick the …