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Workshop Details

SENTIRE: Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

Organized by Erik Cambria, Bing Liu, Yunqing Xia, Catherine Havasi
09:00 - 18:00
Room: Memling
http://sentic.net/sentire

Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) is the IEEE ICDM workshop series on opinion mining. The term SENTIRE comes from the Latin feel and it is root of words such as sentiment and sensation. The main aim of SENTIRE is to explore the new frontiers of opinion mining and sentiment analysis by proposing novel techniques in fields such as AI, Semantic Web, knowledge-based systems, adaptive and transfer learning, in order to more efficiently retrieve and extract social information from the Web.

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09:00 - 09:10 Welcoming and Introduction
Erik Cambria
09:00 - 09:10 Welcoming and Introduction
Erik Cambria
09:00 - 09:10 Welcoming and Introduction Welcoming and Introduction 09:00 - 09:10 Welcoming and Introduction
Erik Cambria
09:10 - 10:00 Keynote Talk: Multimodal Sentiment Analysis
Rada Mihalcea
09:10 - 10:00 Keynote Talk: Multimodal Sentiment Analysis
Rada Mihalcea
09:10 - 10:00 Keynote Talk: Multimodal Sentiment Analysis Keynote Talk: Multimodal Sentiment Analysis 09:10 - 10:00 Keynote Talk: Multimodal Sentiment Analysis
Rada Mihalcea
10:00 - 10:30 Coffee Break
10:00 - 10:30 Coffee Break

10:00 - 10:30 Coffee Break Coffee Break 10:00 - 10:30 Coffee Break
10:30 - 11:00 How Much Supervision? Corpus-Based Lexeme Sentiment Estimation
Aleksander Wawer and Dominika Rogozinska
10:30 - 11:00 How Much Supervision? Corpus-Based Lexeme Sentiment Estimation
Aleksander Wawer and Dominika Rogozinska
10:30 - 11:00 How Much Supervision? Corpus-Based Lexeme Sentiment Estimation How Much Supervision? Corpus-Based Lexeme Sentiment Estimation 10:30 - 11:00 How Much Supervision? Corpus-Based Lexeme Sentiment Estimation
Aleksander Wawer and Dominika Rogozinska
11:00 - 11:30 Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection
Robert Remus
11:00 - 11:30 Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection
Robert Remus
11:00 - 11:30 Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection 11:00 - 11:30 Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection
Robert Remus
11:30 - 12:00 Sentiment polarity classification using statistical data compression models
Dominique Ziegelmayer and Rainer Schrader
11:30 - 12:00 Sentiment polarity classification using statistical data compression models
Dominique Ziegelmayer and Rainer Schrader
11:30 - 12:00 Sentiment polarity classification using statistical data compression models Sentiment polarity classification using statistical data compression models 11:30 - 12:00 Sentiment polarity classification using statistical data compression models
Dominique Ziegelmayer and Rainer Schrader
12:00 - 13:30 Lunch Break
12:00 - 13:30 Lunch Break

12:00 - 13:30 Lunch Break Lunch Break 12:00 - 13:30 Lunch Break
13:30 - 14:00 Representing and Resolving Negation for Sentiment Analysis
Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid
13:30 - 14:00 Representing and Resolving Negation for Sentiment Analysis
Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid
13:30 - 14:00 Representing and Resolving Negation for Sentiment Analysis Representing and Resolving Negation for Sentiment Analysis 13:30 - 14:00 Representing and Resolving Negation for Sentiment Analysis
Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid
14:00 - 14:30 Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining
Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu
14:00 - 14:30 Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining
Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu
14:00 - 14:30 Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining 14:00 - 14:30 Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining
Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu
14:30 - 15:00 Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons
Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
14:30 - 15:00 Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons
Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
14:30 - 15:00 Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons 14:30 - 15:00 Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons
Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
15:00 - 15:30 Learning Domain-Specific Polarity Lexicons
Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
15:00 - 15:30 Learning Domain-Specific Polarity Lexicons
Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
15:00 - 15:30 Learning Domain-Specific Polarity Lexicons Learning Domain-Specific Polarity Lexicons 15:00 - 15:30 Learning Domain-Specific Polarity Lexicons
Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin
15:30 - 16:00 Coffee Break
15:30 - 16:00 Coffee Break

15:30 - 16:00 Coffee Break Coffee Break 15:30 - 16:00 Coffee Break
16:00 - 16:30 A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings
Filipa Peleja, Pedro Dias, and Joao Magalhaes
16:00 - 16:30 A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings
Filipa Peleja, Pedro Dias, and Joao Magalhaes
16:00 - 16:30 A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings 16:00 - 16:30 A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings
Filipa Peleja, Pedro Dias, and Joao Magalhaes
16:30 - 17:00 Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering
Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
16:30 - 17:00 Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering
Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
16:30 - 17:00 Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering 16:30 - 17:00 Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering
Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
17:00 - 17:30 Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge
Daniel Olsher
17:00 - 17:30 Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge
Daniel Olsher
17:00 - 17:30 Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge 17:00 - 17:30 Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge
Daniel Olsher
17:30 - 18:00 Concluding Remarks
Erik Cambria
17:30 - 18:00 Concluding Remarks
Erik Cambria
17:30 - 18:00 Concluding Remarks Concluding Remarks 17:30 - 18:00 Concluding Remarks
Erik Cambria