Informal sentiment analysis in multiple domains for English and Spanish
published: Nov. 16, 2012, recorded: October 2012, views: 2885
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.
This paper addresses the problem of sentiment analysis in an informal setting in multiple domains and in two languages. We explore the influence of using background knowledge in the form of different sentiment lexicons, as well as the influence of various lexical surface features. We show that the improvement resulting from using a two-layer model, sentiment lexicons, surface features and feature scaling is most notable on social media datasets in both English and Spanish. For English, we are also able to demonstrate improvement on the news domain using sentiment lexicons and a large improvement on the social media domain. We also demonstrate that domain-specific lexicons bring comparable performance to generalpurpose lexicons.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !