Processing social media data: can we circumvent the Tower of Babel?
published: Aug. 1, 2017, recorded: July 2017, views: 941
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Social media are known to be a diverse and rich source of information for various areas of research. However, they pose a series of processing challenges due to the linguistic and cultural diversity of their users. Processing social media texts with standard language technologies has an error rate much higher than that on standard texts. Furthermore, researchers are regularly in need of additional user data like their sociodemographic information. In the first part of my talk I will present a series of technology adaptations for processing varying language production, while in the second part I will overview some experiments on language-independent user profiling such as user type identification and gender prediction.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !