Keeping up with topics and trends you care about within a sea of articles can be overwhelming and time-consuming.
Filtering out the noise so you can focus on what really matters is a challenge we are deeply passionate about.
Today, we are delighted to announce Leo, your AI research assistant.
How Does Leo Work?
We have been teaching Leo how to read and analyze information so that he can declutter your feeds and deep-dive into topics and trends you care about. With Leo, instead of spending hours going through hundreds of articles every day, you can free your mind, focus on what matters, and stay on top of your field.
Unlike opaque algorithms, Leo gives you total control over your feeds. Leo has a set of skills that help him understand the world and enable you to define what is relevant to you.
Leo allows you to prioritize topics, trends, and keywords of choice; deduplicate repetitive news; mute irrelevant information; summarize articles, and so much more.
The Topic skill lets you prioritize specific keywords, mentions, topics, and trends.
The Like-Board skill lets you train Leo by example. If you have curated over the time a board of specific topics or trends, you can ask Leo to read that board, understand what you are interested in, and prioritize future articles he thinks you’re likely to save to that board.
The Business Events skill lets you track industry activities such as funding events, partnerships announcements, product launches, leadership change, etc. of your interest.
Leo is much more sophisticated than a simple news filtering tool. It’s a true AI that uses machine learning and NLP to filter out the noise.Jon Henshaw (Lead SEO Analyst – CBS Interactive)
Let’s take an example!
Imagine that you follow a broad business feed connected to many sources with thousands of new articles per month.
You can ask Leo to read all of the articles and prioritize the most insightful ones in the new Priority Tab. This will save you an enormous amount of time.
With Leo, you are in control of the priorities.
Let’s imagine you are interested in the Facebook Cryptocurrency trend. With just a few clicks, you can train Leo on this new priority:
Once trained, Leo continuously reads all articles in your feed and prioritizes the ones mentioning Facebook and related to cryptocurrency.
Articles prioritized by Leo have a green priority label, which gives you a clear understanding of why the article was prioritized. You can then take further actions such as Refine Priority, Pause or Remove that priority.
Leo is smart! He continuously learns from your feedback:
- When you save an article to a board, Leo considers that action as a positive signal that reinforces Leo’s learning.
- When Leo is wrong, you can use the “Less Like This” down arrow button to correct Leo and improve future recommendations.
Leo helps us to find the signals in the noise. With Leo, we can basically automate knowledge gathering and focus on growing our expertise.Tino Klähne (Head of Strategic Design – Lufthansa Innovation Hub)
Train Your Leo Now
We are excited to see many Feedly users declutter their feeds and dig deeper into the topics and trends that matter to them. Sign up today and discover for yourself what Leo can do for you!
Sometimes you want to follow publications like TechCrunch, The Verge, Forbes, Wired, … because of their high quality but you are only interested in articles mentioning a competitor, a product you are interested in, or a client you are trying to connect with.
Reducing noise and information overload is a problem we care passionately about. We have been working over the last 12 months on a new feature called Leo. You can think of Leo as your non-black-box research assistant – an easy-to-control AI tool which helps you reduce noise in your feeds and never miss important articles.
At its core, Leo is composed of a set of NLP and ML skills that allows you to train him to read, understand, and prioritize the content of your feeds. One of the first skills we are building is Named Entity Recognition (and Salience).
What is Named Entity Recognition?
This skill helps Leo detect people, companies, products in articles, map them to the right entity (disambiguation), and determine their salience (which entity is the focus of the article).
Why is this skill useful?
There are two interesting use cases related to the Named Entity Recognition skill.
The first one is around the power of disambiguation. Disambiguation allows you to prioritize ICO (Initial Coin Offering) and avoid seeing articles related to ICO (Information Commissioner’s Office). When Leo sees ICO in an article, it will look at the context of the sentence and the article to determine if it is initial coin offering or information commissioner’s office and map the term to the right entity and refine its filtering. Apple the fruit versus Apple the company is another example of this.
The second is around the power of salience. Let’s imagine that you are doing some competitive watch on JP Morgan and you have created a keyword alert for JP Morgan. One of the limitations of keyword alerts is that they show you all the mentions of JP Morgan. So if you have an article about Amazon or Google and there is a short sentence about JP Morgan, you will see that article in your feed (even if that article is not about JP Morgan). With salience, you can train Leo to only see articles which are truly about JP Morgan (and remove all the irrelevant mentions)
How is Leo learning?
We feed Leo (deep learning model) with a set of article examples we have manually tagged with various entities. By reading through all these examples, Leo learns the structure of sentences and the occurrence of entities.
In a second module, we look at the extracted entities and try to map them to a knowledge base and disambiguate homonyms.
A third module reviews the list of entities across the article and determines the salience of each of the entities assigning an aboutness/importance score to each entity.
Which languages does Leo understand?
Right now our dataset is English only so Leo can perform named entity recognition on English articles only.
How can you participate?
Leo is in its infancy (Leo 0.1). We are going to need six to nine month of training and quality improvement for Leo to grow and become useful. As part of our Lab effort (more open and transparent development process), we are inviting the Feedly community to contribute to Leo’s training.
You might see at the bottom of some article, a Leo prompt asking you to train Leo about the entities (people, products, brands, etc.) associated with the article you just read. You can in a couple of clicks pick the entities which are the most relevant.
If you are not interested in participating in the Leo program and think that the footer is a waste of space, there is a preference knob to turn it off in the Leo settings page.