39 search results - page 8 / 8 » Automatic Web Rating: Filtering Obscene Content on the Web |
AIRWEB
2008
Springer
13 years 6 months ago
2008
Springer
Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable ...
ACL
2008
13 years 6 months ago
2008
We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
LREC
2008
13 years 6 months ago
2008
Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. Examples of such applications are rating new bo...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...