MonkeyLearn news and announcements.
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 […]
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 […]
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 […]
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 […]
Good news, everyone! We’ve just released a new extractor: Sentence Extractor. This new module allows to separate a text into its sentences. In other words, you can process things like reviews or news articles and get an array of the sentences. […]
We believe that documentation is one of the most critical assets that a developer-focused product can create.
A clear and well-written documentation makes it easy for developers to understand an API. A thoughtful documentation makes it faster to get answers to questions. And a robust documentation saves developers huge amounts of time.
We feel that superb […]
We are excited to announce that we have made several improvements to our Keyword Extractor. You can try it for free here, you just need a MonkeyLearn account.
This module extracts keywords from text in English. Keywords can be compounded by one or more words and are defined as the important topics in your content and can be used to index […]
We are excited to announce some new cool public modules for MonkeyLearn: product sentiment analysis, keywords extraction and entity extraction. These modules are pre-trained by the MonkeyLearn team and ready to use modules by developers on their apps and platforms.
You can try these modules by login on your MonkeyLearn account and going to your dashboard.
On March 12 we had the amazing opportunity to pitch MonkeyLearn to a big crowd at PyCon Startup Row’s event. It was a very fun night held at Yelp’s office in Downtown SF and part of a SF Python Meetup.
We had 5 minutes to explain the product and give the pitch with more monkeys per Slide ratio known […]
Wondering how did we created this Twitter profiling demo?
Twitter did also. We were invited to write a Blog post on Twitter Developers Blog. The idea was to easily explain how to profile Twitter users using MonkeyLearn based on the bios of the people they follow and their related tweets. Using this profiling techniques Companies […]