MonkeyLearn news and announcements.
As a business development person in a Machine Learning company, I get confronted every day with the changes happening in the role of sales.
As organizations evolve to become ready for the disruption of automation, there’s a growing need to understand what these technologies can and cannot do.
In this blog post, we’ll take a look […]
Today we’re launching Inbox Samples, an exciting new feature that will make it much easier to improve the machine learning models built on our platform.
Now, whenever you send a new text to be analyzed by MonkeyLearn (via our API, integrations or user interface), the system will save your data within the Inbox of your […]
Machine learning is eating the world right now. Everyone and their mother are learning about machine learning models, classification, neural networks, and Andrew Ng. You’ve decided you want to be a part of it, but where to start?
In this article we’ll cover some important characteristics of Python and why it’s great for machine learning. […]
We are excited to announce our MonkeyLearn integration with Zapier!
Wouldn’t be amazing if you had a simple idea on how to automate a manual workflow with AI and just try it out in a couple of minutes?
Labeling your emails, tagging customer support tickets or organizing billing invoices are just a few examples of manual […]
So you’re working on a text classification problem. You’re refining your training set, and maybe you’ve even tried stuff out using Naive Bayes. But now you’re feeling confident in your dataset, and want to take it one step further. Enter Support Vector Machines (SVM): a fast and dependable classification algorithm that performs very well with a limited amount of data. […]
The simplest solutions are usually the most powerful ones, and Naive Bayes is a good proof of that. In spite of the great advances of the Machine Learning in the last years, it has proven to not only be simple but also fast, accurate and reliable. It has been successfully used for many purposes, but it works particularly well with natural language processing (NLP) problems. […]
This is the final part in a series where we use machine learning and natural language processing to analyze articles published in tech news sites in order to gain insights about the state of the startup industry. […]
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 […]
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 […]