Papers for Relevance Assessment by Art Munson

Research Question: Can a computer automatically identify words in a document that express perspective, opinion, or private state?

Paper ID
(Link to PDF)

Title

Author(s)

319_pdf_2-col

A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

Bo Pang and Lillian Lee

P05-2008

Using Emoticons to Reduce Dependency in Machine Learning Techniques for Sentiment Classification

Jonathon Read

P02-1053

Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

Peter Turney

W05-0408

Automatic Identification of Sentiment Vocabulary: Exploiting Low Association with Known Sentiment Terms

Michael Gamon; Anthony Aue

71-826

Deeper Sentiment Analysis Using Machine Translation Technology

Hiroshi Kanayama, Tetsuya Nasukawa and Hideo Watanabe

W03-1014

Learning Extraction Patterns for Subjective Expressions

Ellen Riloff; Janyce Wiebe

I05-2011

Automatic Detection of Opinion Bearing Words and Sentences

Soo-Min Kim; Eduard Hovy

H05-1044

Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis

Theresa Wilson; Janyce Wiebe; Paul Hoffmann

I05-2030

Opinion Extraction Using a Learning-Based Anaphora Resolution Technique

Nozomi Kobayashi; Ryu Iida; Kentaro Inui; Yuji Matsumoto

W03-1017

Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences

Hong Yu; Vasileios Hatzivassiloglou

H05-1116

Multi-Perspective Question Answering Using the OpQA Corpus

Veselin Stoyanov; Claire Cardie; Janyce Wiebe

W03-0404

Learning subjective nouns using extraction pattern bootstrapping

Ellen Riloff; Janyce Wiebe; Theresa Wilson

P05-1015

Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales

Bo Pang; Lillian Lee

C96-1090

Issues in Communication Game

HASIDA Koiti

W03-04_LONG_wilson_2_sigdial03final

Annotating Opinions in the World Press

Theresa Wilson