Machine Learning Could Help Filter Social Media's ‘Noise'

Panelists from WorldQuant, Thomson Reuters, OneMarketData and the Federal Home Loan Bank of Chicago discussed the challenges of tapping into the power of social media.

Social Media

When it comes to social media, it's always going to be a case of good and bad. Sites like Twitter and Facebook both connect and divide. But they also serve as potentially valuable sources of information.

Many trading firms have tried to tap into the power of public sentiment. It stands to reason that as firms can more affordably and easily take in more data, it will be more tempting to target social media outlets. And that's largely what's happened, but many have been disillusioned by social

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here