Friday June 27, 2014 |
| | (8:30) Opening Remarks |
| | (8:35) Invited talk: Dr. Saif Mohammad |
| | Words: Evaluative, Emotional, Colourful, Musical!
Saif Mohammad |
| | (9:10) Session 1: Cross-domain and Multilingual Sentiment Analysis |
| 9:10 | Robust Cross-Domain Sentiment Analysis for Low-Resource Languages
Jakob Elming, Barbara Plank and Dirk Hovy |
| 9:35 | An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !
Lingjia Deng and Janyce Wiebe |
| 10:00 | Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives
Manfred Klenner, Michael Amsler and Nora Hollenstein |
| 10:15 | Aspect-Level Sentiment Analysis in Czech
Josef Steinberger, Tomáš Brychcín and Michal Konkol |
| | (10:30) Break |
| | (10:50) Invited talk: Dr. Myle Ott |
| 10:50 | Linguistic Models of Deceptive Opinion Spam
Myle Ott |
| | (11:25) Session 2: Emotion, Irony and Sarcasm Classification |
| 11:25 | Semantic Role Labeling of Emotions in Tweets
Saif Mohammad, Xiaodan Zhu and Joel Martin |
| 11:50 | An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
Konstantin Buschmeier, Philipp Cimiano and Roman Klinger |
| 12:15 | Modelling Sarcasm in Twitter, a Novel Approach
Francesco Barbieri, Horacio Saggion and Francesco Ronzano |
| 12:30 | Emotive or Non-emotive: That is The Question
Michal Ptaszynski, Fumito Masui, Rafal Rzepka and Kenji Araki |
| | (12:45) Lunch Break |
| | (14:00) Demo talk: Dr. Alexandra Balahur |
| 14:00 | Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining
Alexandra Balahur, Hristo Tanev and Erik van der Goot |
| | (14:30) Session 3: Lexical Acquisition and Feature Weighting for Sentiment Analysis |
| 14:30 | Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams
Ilia Chetviorkin and Natalia Loukachevitch |
| 14:45 | Linguistically Informed Tweet Categorization for Online Reputation Management
Gerard Lynch and Pádraig Cunningham |
| 15:00 | Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification
Yoon Kim and Owen Zhang |
| 15:15 | Opinion Mining and Topic Categorization with Novel Term Weighting
Tatiana Gasanova, Roman Sergienko, Shakhnaz Akhmedova, Eugene Semenkin and Wolfgang Minker |
| | (15:30) Break |
| | (16:00) Session 4: Sentiment Analysis from Discourse and Dialogues |
| 16:00 | Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method
Hugo Lewi Hammer, Per Erik Solberg and Lilja Øvrelid |
| 16:25 | Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon
Lu Wang and Claire Cardie |
| 16:50 | Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events
Yoonjung Choi, Lingjia Deng and Janyce Wiebe |
| 17:05 | Dive deeper: Deep Semantics for Sentiment Analysis
Nikhilkumar Jadhav and Pushpak Bhattacharyya |
| | (17:20) Break |
| | (17:30) Session 5: Sentiment Analysis Evaluation. Going Beyond Current Sentiment Analysis Approaches |
| 17:30 | Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading
Siavash Kazemian, Shunan Zhao and Gerald Penn |
| 17:55 | Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features
Dai Quoc Nguyen, Dat Quoc Nguyen, Thanh Vu and Son Bao Pham |
| 18:20 | Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data
Itir Onal, Ali Mert Ertugrul and Ruken Cakici |
| 18:35 | A cognitive study of subjectivity extraction in sentiment annotation
Abhijit Mishra, Aditya Joshi and Pushpak Bhattacharyya |
| 18:50 | The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations
Wanting Mao, Lu Xiao and Robert Mercer |
| 19:05 | A Conceptual Framework for Inferring Implicatures
Janyce Wiebe and Lingjia Deng |
| | (19:20) Closing remarks |