Finance
Whether you’re looking for help categorizing data, validating your algorithms, or informing your forecasts with natural language processing models, we can help.
Our platform powers:
Social listening
Many hedge funds and financial institutions have integrated sentiment analysis–a.k.a. social listening–into their strategies. And that makes sense. After all, knowing how the public feels about a product or company can be a key indicator in their performance. Figure Eight excels at this kind of training data. We let you go beyond positive and negative and find the “why” to understand if a bad week is just a blip or something more.
Natural language processing
Whether you’re looking to do social listening, build algorithms to understand board meetings, or any other kind of NLP, we’ve got you covered. We can train your language algorithm so you can understand massive amounts of text data. And we can test and tune your models with active learning so that it gets more accurate and more confident over time.
NDA channels for maximum security
We know that financial data can be very sensitive. We’ve contracted with expert BPOs to keep data just like this secure and private. Each agreement is different, so if you’re curious about bringing in special channels on non-disclosure agreements, let us know. We can help.
Trusted by today’s leading brands
We needed a way to scalably measure search results quality. We needed to look at the impact of algorithms in search results relevancy and Figure Eight provides a way to do that. Our search results have gotten measurably better and we’ve been able to increase revenue, so it's been a real winner in terms of user experience and income.
James Rubenstein
Director of U.S. Search
Having tens of thousands of people at your disposal to read content and score it for sentiment and tone gives us the ability to inform our clients if there’s an issue. We can identify it quickly and put the campfire out before it becomes a forest fire.
Chris Lightner
Executive Vice President, Measurement and Insights
Machines don’t know music. Machines don’t feel the beat. Machines don’t feel happy. So we have to teach them. Teaching them involves two things: what do you put in, but also how do you grade your machines?
Henriette Cramer
Senior Research Lead