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.
09:00 - 09:10 | Welcoming and Introduction Erik Cambria |
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09:00 - 09:10 | Welcoming and Introduction Erik Cambria |
} elseif($paper->event_type == 3) {?>
09:00 - 09:10 | Welcoming and Introduction | } elseif($paper->event_type == 4) {?>Welcoming and Introduction | } elseif($paper->event_type == 5) {?>09:00 - 09:10 | Welcoming and Introduction Erik Cambria |
} ?>
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09:10 - 10:00 | Keynote Talk: Multimodal Sentiment Analysis Rada Mihalcea |
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09:10 - 10:00 | Keynote Talk: Multimodal Sentiment Analysis Rada Mihalcea |
} elseif($paper->event_type == 3) {?>
09:10 - 10:00 | Keynote Talk: Multimodal Sentiment Analysis | } elseif($paper->event_type == 4) {?>Keynote Talk: Multimodal Sentiment Analysis | } elseif($paper->event_type == 5) {?>09:10 - 10:00 | Keynote Talk: Multimodal Sentiment Analysis Rada Mihalcea |
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10:00 - 10:30 | Coffee Break |
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10:00 - 10:30 | Coffee Break |
} elseif($paper->event_type == 3) {?>
10:00 - 10:30 | Coffee Break | } elseif($paper->event_type == 4) {?>Coffee Break | } elseif($paper->event_type == 5) {?>10:00 - 10:30 | Coffee Break |
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10:30 - 11:00 | How Much Supervision? Corpus-Based Lexeme Sentiment Estimation Aleksander Wawer and Dominika Rogozinska |
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10:30 - 11:00 | How Much Supervision? Corpus-Based Lexeme Sentiment Estimation Aleksander Wawer and Dominika Rogozinska |
} elseif($paper->event_type == 3) {?>
10:30 - 11:00 | How Much Supervision? Corpus-Based Lexeme Sentiment Estimation | } elseif($paper->event_type == 4) {?>How Much Supervision? Corpus-Based Lexeme Sentiment Estimation | } elseif($paper->event_type == 5) {?>10:30 - 11:00 | How Much Supervision? Corpus-Based Lexeme Sentiment Estimation Aleksander Wawer and Dominika Rogozinska |
} ?>
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11:00 - 11:30 | Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection Robert Remus |
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11:00 - 11:30 | Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection Robert Remus |
} elseif($paper->event_type == 3) {?>
11:00 - 11:30 | Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection | } elseif($paper->event_type == 4) {?>Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection | } elseif($paper->event_type == 5) {?>11:00 - 11:30 | Domain Adaptation using Domain Similarity- and Domain Complexity-based Instance Selection Robert Remus |
} ?>
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11:30 - 12:00 | Sentiment polarity classification using statistical data compression models Dominique Ziegelmayer and Rainer Schrader |
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11:30 - 12:00 | Sentiment polarity classification using statistical data compression models Dominique Ziegelmayer and Rainer Schrader |
} elseif($paper->event_type == 3) {?>
11:30 - 12:00 | Sentiment polarity classification using statistical data compression models | } elseif($paper->event_type == 4) {?>Sentiment polarity classification using statistical data compression models | } elseif($paper->event_type == 5) {?>11:30 - 12:00 | Sentiment polarity classification using statistical data compression models Dominique Ziegelmayer and Rainer Schrader |
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12:00 - 13:30 | Lunch Break |
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12:00 - 13:30 | Lunch Break |
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12:00 - 13:30 | Lunch Break | } elseif($paper->event_type == 4) {?>Lunch Break | } elseif($paper->event_type == 5) {?>12:00 - 13:30 | Lunch Break |
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13:30 - 14:00 | Representing and Resolving Negation for Sentiment Analysis Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid |
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13:30 - 14:00 | Representing and Resolving Negation for Sentiment Analysis Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid |
} elseif($paper->event_type == 3) {?>
13:30 - 14:00 | Representing and Resolving Negation for Sentiment Analysis | } elseif($paper->event_type == 4) {?>Representing and Resolving Negation for Sentiment Analysis | } elseif($paper->event_type == 5) {?>13:30 - 14:00 | Representing and Resolving Negation for Sentiment Analysis Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid |
} ?>
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14:00 - 14:30 | Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu |
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14:00 - 14:30 | Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu |
} elseif($paper->event_type == 3) {?>
14:00 - 14:30 | Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining | } elseif($paper->event_type == 4) {?>Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining | } elseif($paper->event_type == 5) {?>14:00 - 14:30 | Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining Sheng Huang, Xinlan Liu, Xueping Peng, and Zhendong Niu |
} ?>
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14:30 - 15:00 | Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
} elseif($paper->event_type == 2) {?>
14:30 - 15:00 | Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
} elseif($paper->event_type == 3) {?>
14:30 - 15:00 | Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons | } elseif($paper->event_type == 4) {?>Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons | } elseif($paper->event_type == 5) {?>14:30 - 15:00 | Subjectivity-Based Features for Sentiment Classification: A Study on Two Lexicons Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
} ?>
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15:00 - 15:30 | Learning Domain-Specific Polarity Lexicons Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
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15:00 - 15:30 | Learning Domain-Specific Polarity Lexicons Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
} elseif($paper->event_type == 3) {?>
15:00 - 15:30 | Learning Domain-Specific Polarity Lexicons | } elseif($paper->event_type == 4) {?>Learning Domain-Specific Polarity Lexicons | } elseif($paper->event_type == 5) {?>15:00 - 15:30 | Learning Domain-Specific Polarity Lexicons Gulsen Demiroz, Berrin Yanikoglu, Dilek Tapucu, and Yucel Saygin |
} ?>
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15:30 - 16:00 | Coffee Break |
} elseif($paper->event_type == 2) {?>
15:30 - 16:00 | Coffee Break |
} elseif($paper->event_type == 3) {?>
15:30 - 16:00 | Coffee Break | } elseif($paper->event_type == 4) {?>Coffee Break | } elseif($paper->event_type == 5) {?>15:30 - 16:00 | Coffee Break |
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16:00 - 16:30 | A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings Filipa Peleja, Pedro Dias, and Joao Magalhaes |
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16:00 - 16:30 | A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings Filipa Peleja, Pedro Dias, and Joao Magalhaes |
} elseif($paper->event_type == 3) {?>
16:00 - 16:30 | A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings | } elseif($paper->event_type == 4) {?>A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings | } elseif($paper->event_type == 5) {?>16:00 - 16:30 | A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings Filipa Peleja, Pedro Dias, and Joao Magalhaes |
} ?>
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16:30 - 17:00 | Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay |
} elseif($paper->event_type == 2) {?>
16:30 - 17:00 | Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay |
} elseif($paper->event_type == 3) {?>
16:30 - 17:00 | Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering | } elseif($paper->event_type == 4) {?>Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering | } elseif($paper->event_type == 5) {?>16:30 - 17:00 | Enriching SenticNet Polarity Scores Through Semi-Supervised Fuzzy Clustering Soujanya Poria, Alexandar Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay |
} ?>
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17:00 - 17:30 | Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge Daniel Olsher |
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17:00 - 17:30 | Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge Daniel Olsher |
} elseif($paper->event_type == 3) {?>
17:00 - 17:30 | Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge | } elseif($paper->event_type == 4) {?>Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge | } elseif($paper->event_type == 5) {?>17:00 - 17:30 | Full Spectrum Opinion Mining: Integrating Domain, Syntactic and Lexical Knowledge Daniel Olsher |
} ?>
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17:30 - 18:00 | Concluding Remarks Erik Cambria |
} elseif($paper->event_type == 2) {?>
17:30 - 18:00 | Concluding Remarks Erik Cambria |
} elseif($paper->event_type == 3) {?>
17:30 - 18:00 | Concluding Remarks | } elseif($paper->event_type == 4) {?>Concluding Remarks | } elseif($paper->event_type == 5) {?>17:30 - 18:00 | Concluding Remarks Erik Cambria |
} ?>