Important Dates
Poster/Demo/Participation deadline: 28 September 5th October 2017
Notification of Acceptance/Participation: 30 September 6th October 2017
Date of Workshop: 9-10 October 2017
NOTE: Registrations are closed now. It is still possible to attend the workshop but admittance will be on first come first serve basis.
Scope
The goal of the workshop is to discuss the unique challenges and the state-of-the-art in the area of inference and analysis on user-generated content (UGC). We invite submissions on all topics related to application of machine learning methods to UGC data. Some examples of such applications include:
- identifying product aspects and polarity in reviews
- identifying spamming and trolling in comments and discussion forums
- modeling comment-article relationships
- identifying best answers and experts in discussion forums
- using question-answer forum data for automatic Question Answering
- identifying entities and polarity in social media posts
UGC includes a wide variety of data created by end users of web and desktop/mobile applications, typically characterized by informality and lack of editorial supervision. We invite submissions describing novel research on all aspects of UGC. A partial list of examples of UGC include:
- Social media posts
- Questions and answers and discussion forums
- Blogs
- Audio / video clips
- Photos
- Product reviews
- Restaurant and hotel reviews
- User comments
- Email and chat conversations
We particularly encourage contributions that meet one or more of the following criteria:
- Work provides novel and innovative solutions for technical problems that arises due to the unique characteristics of the data
- Work demonstrates a promising or proven industrial application of existing technology on UGC data
- Demonstration of non-intuitive and novel insights resulting from analysis inference of UGC data
Call For Posters/Demos/Participation
This workshop is open to all and registration is free. If you are interested, please fill the following form.
Note: Presenters/Participants will have to arrange their own travel and accommodation.
Sponsors
