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|0 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|4 Comments

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. 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

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|6 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

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 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

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|2 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

Making it easier to build text classifiers on MonkeyLearn

Our product team priority is to ensure that MonkeyLearn provides the best tools for creating texts classifiers and make the process as easy as possible. Here’s a quick rundown of some of the new features and improvements we’ve recently released:

Explore and fork public classifiers
Now you can explore the public classifiers created by the MonkeyLearn community. You can check out […]

By |March 1st, 2016|News|0 Comments