Shout out: integrating news and reader comments

Authors:
Lisa M. Gandy;Nathan D. Nichols;Kristian J. Hammond
Affiliations:
Northwestern University, Evanston, IL, USA;Northwestern University, Evanston, IL, USA;Northwestern University, Evanston, IL, USA
Venue:
Proceedings of the 19th international conference on World wide web
Year:
2010

Citing 4
Cited 1

The further exploits of Aaron, painter

Stanford Humanities Review
Thumbs up?: sentiment classification using machine learning techniques

EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Machine-Generated Multimedia Content

ACHI '09 Proceedings of the 2009 Second International Conferences on Advances in Computer-Human Interactions
TALE-SPIN, an interactive program that writes stories

IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1

News comments generation via mining microblogs

Proceedings of the 21st international conference companion on World Wide Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

A useful approach for enabling computers to automatically create new content is utilizing the text, media, and information already present on the World Wide Web. The newly created content is known as "machine-generated content". For example, a machine-generated content system may create a multimedia news show with two animated anchors presenting a news story; one anchor reads the news story with text taken from an existing news article, and the other anchor regularly interrupts with his or her own opinion about the story. In this paper, we present such a system, and describe in detail its strategy for autonomously extracting and selecting the opinions given by the second anchor.