I'm torturing myself by reading the programmes for ACL/Coling, EMNLP and the Workshop on Sentiment and Subjectivity in Text. Here's the list from the workshop:
- Atsushi Fujii and Tetsuya Ishikawa: A System for Summarizing and Visualizing Arguments in Subjective Documents: Toward Supporting Decision Making.
- Michel Généreux and Roger Evans: Towards a Validated Model for Affective Classification of Texts.
- Michelle Gregory, Nancy Chinchor, Paul Whitney, Richard Carter, Alan Turner and Elizabeth Hetzler: User-Directed Sentiment Analysis: Visualizing the Affective Content of Documents.
- Nobuaki Hiroshima, Setsuo Yamada, Osamu Furuse and Ryoji Kataoka: Searching for Sentences Expressing Opinions by Using Declaratively Subjective Clues.
- Soo-Min Kim and Eduard Hovy: Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text.
- Rashmi Prasad, Nikhil Dinesh, Alan Lee, Aravind Joshi and Bonnie Webber: Annotating Attribution in the Penn Discourse TreeBank.
- Veselin Stoyanov and Claire Cardie: Toward Opinion Summarization: Linking the Sources.
- Li Zhang, John Barnden, Robert Hendley and Alan Wallington: Exploitation in Affect Detection in Open-Ended Improvisational Text.
I'm interested to see that there are two papers in there which mention visualization. The second of these contains a number of (at first sight) interesting images including:
The first image above appears to use the same system as shown by Motive Quest (a competitor to Nielsen BuzzMetrics, Umbria), so I'm assuming the paper reports some of the methods used by that company. The second image is interesting as it is visually related to the work of Florence Nightingale:
The EMNLP programme has a session on sentiment with 5 papers:
- Get out the vote: Determining support or opposition from Congressional floor-debate
transcripts; Matt Thomas, Bo Pang and Lillian Lee - Partially Supervised Coreference Resolution for Opinion Summarization through Structured
Rule Learning; Veselin Stoyanov and Claire Cardie - Sentiment Retrieval using Generative Models; Koji Eguchi and Victor Lavrenko
- Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis
Hiroshi Kanayama and Tetsuya Nasukawa - A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance; Michel Galley
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