69 search results - page 1 / 14 » Analyzing Entities and Topics in News Articles Using Statist... |
ISI
2006
Springer
13 years 5 months ago
2006
Springer
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
COLING
2010
13 years 1 days ago
2010
Ambiguity of entity mentions and concept references is a challenge to mining text beyond surface-level keywords. We describe an effective method of disambiguating surface forms an...
AIRS
2005
Springer
13 years 7 months ago
2005
Springer
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at ...