Awesome tutorials on how to use MonkeyLearn

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

Creating machine learning models to analyze startup news

Analyzing startup news — part 2

This is the second part in a series where we analyze thousands of articles from tech news sites in order to get insights and trends about startups.

Last time around we scraped all the articles ever published in TechCrunch, VentureBeat and Recode using Scrapy. We then filtered out all the articles that weren’t about startups, […]

By |April 11th, 2017|How To|0 Comments

Filtering startup news with Machine Learning

Analyzing startup news — part 1

On this new post series, we will analyze hundreds of thousands of articles from TechCrunch, VentureBeat and Recode to discover cool trends and insights about startups.

What are the hottest industries for startups right now?
Do machine learning startups get more press than fintech startups?
What is the startup segment with most acquisitions?

These are the […]

By |March 13th, 2017|How To|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

Know your followers with Machine Learning

Tell me who your followers are and I tell you who you are.

You have lots of followers, congrats! You’re popular, maybe an influencer. But, do you actually know who’s following you?

If you have thousands of followers, that could be a tricky question to answer. Let’s use Machine Learning to try to answer that question.

MonkeyLearn’s Twitter […]

By |October 4th, 2016|How To|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

Machine Learning over 1M hotel reviews finds interesting insights

Analyzing hotel reviews — Part 3

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. With this aspect classifier, we were able to automatically know if a particular review was talking about cleanliness, comfort & facilities, food, Internet, location, staff and […]

By |July 20th, 2016|How To|16 Comments

Aspect Analysis from reviews using Machine Learning

Analyzing hotel reviews — Part 2

Recently we walked you through on how to train a sentiment analysis classifier for hotel reviews using Scrapy and MonkeyLearn. This tutorial is a perfect example on how we can combine web scraped data and machine learning for discovering valuable insights about a particular industry.

With this model, we were able to analyze millions […]

By |May 19th, 2016|How To|0 Comments

Creating a sentiment analysis model with Scrapy and MonkeyLearn

Analyzing hotel reviews — Part 1

Data is everywhere. And in massive quantities. We are currently in an era of data explosion, where millions of tweets, articles, comments, reviews and the like are being published everyday.

Developers are taking advantage of the abundance of data and using things like web scraping to do all kinds of cool things. Sometimes web scraping is not […]

By |May 3rd, 2016|How To|6 Comments

Building a SEO tool with Machine Learning

A few weeks ago, Moz founder 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 application […]

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