Awesome tutorials on how to use MonkeyLearn
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
A few weeks ago, Moz CEO 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 […]
We are big fans of Hacker News here at MonkeyLearn. We read HN on a daily basis, but not all of us have the same interests; some are more interested news related to programming, and others are more interested in news related to startup and business.
So, what if we can read Hacker News but only see relevant news related […]