Reddit science discussions as a dataset

In this blog post we demonstrate how to generate a dataset for recommending Reddit posts based on semantic similarity. The Reddit API and the PRAW Python library are used to extract data from the AskScience subreddit. The posts are then analysed using LIP and built into a Chrome extension for searching similar content.

Similar pages for Wikipedia

Wikipedia is one of the most widely used websites globally. We built a simple extension to that displays similar pages at the top of every Wikipedia page!

Give me five

Give me five is an open source Chrome extension that allows you to recommend the content you push to Lateral based on the content of the page you’re currently visiting. It’s the same code base that the NewsBot Chrome extension is built upon.

Building a personal research assistant in a spreadsheet

A while back we partnered up with Blockspring to enable anyone to use our API without needing to write any code. They’ve created an awesome solution that allows you to make use of a range of great APIs using only a spreadsheet. This enables you to bring data into your spreadsheet, run text-analysis and much more. […]

Exploring your thoughts with machine learning

Having recently released our TED talks demo we felt another interesting application would be the thoughts of one person. No one fits that description more than Maria Popova’s excellent collection of ideas on her Brain Pickings site. With thoughts on music to philosophy we felt it would be an excellent exploration of how our technology represents thoughts.