<--- Back to Details
First PageDocument Content
Knowledge / Data analysis / Data mining / Sentiment analysis / Multi-document summarization / Media monitoring service / Opinion / Automatic summarization / Market sentiment / Natural language processing / Science / Computational linguistics
Date: 2008-07-24 14:34:52
Knowledge
Data analysis
Data mining
Sentiment analysis
Multi-document summarization
Media monitoring service
Opinion
Automatic summarization
Market sentiment
Natural language processing
Science
Computational linguistics

Foundations and Trends in Information Retrieval Vol. 2, No[removed]–135 c 2008 Bo Pang and Lillian Lee. This is a pre-publication version; there

Add to Reading List

Source URL: www.cs.cornell.edu

Download Document from Source Website

File Size: 1,27 MB

Share Document on Facebook

Similar Documents

Automatic Documentation Generation via Source Code Summarization of Method Context Paul W. McBurney and Collin McMillan Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA

Automatic Documentation Generation via Source Code Summarization of Method Context Paul W. McBurney and Collin McMillan Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA

DocID: 1vjhq - View Document

Automatic Summarization of API Reviews Gias Uddin Foutse Khomh  McGill University

Automatic Summarization of API Reviews Gias Uddin Foutse Khomh McGill University

DocID: 1uEN3 - View Document

Unsupervised Sentence Enhancement for Automatic Summarization Gerald Penn University of Toronto 10 King’s College Rd., Room 3302 Toronto, ON, Canada M5S 3G4

Unsupervised Sentence Enhancement for Automatic Summarization Gerald Penn University of Toronto 10 King’s College Rd., Room 3302 Toronto, ON, Canada M5S 3G4

DocID: 1tWmT - View Document

Automatic Text Summarization using a Machine Learning Approach Joel Larocca Neto Alex A. Freitas

Automatic Text Summarization using a Machine Learning Approach Joel Larocca Neto Alex A. Freitas

DocID: 1sRui - View Document

VSUMM: An Approach Based on Color Features for Automatic Summarization and a Subjective Evaluation Method∗† Sandra Eliza Fontes de Avila, Arnaldo de Albuquerque Ara´ujo (advisor) Computer Science Department, Federal

VSUMM: An Approach Based on Color Features for Automatic Summarization and a Subjective Evaluation Method∗† Sandra Eliza Fontes de Avila, Arnaldo de Albuquerque Ara´ujo (advisor) Computer Science Department, Federal

DocID: 1rM5d - View Document