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|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|News|0 Comments

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 build a training dataset, test different parameters for your model, fix the confusions, among other things.

On this post, we will describe the process on how you can successfully train text classifiers with machine learning using MonkeyLearn […]

By |January 31st, 2017|Guides|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

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 non-Americans worldwide. What are these people saying? What do they think? What are their opinions? How do they feel?

We are using machine learning to find out! For the past few months, we’ve […]

By |October 20th, 2016|Applications|13 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

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

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|15 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 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