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- Annotating and Identifying Emotions in Text
- This book chapter discusses annotating and identifying emotions in text. Abstract: This paper focuses on the classification of emotions and polarity in news headlines and it is meant as an exploration of the connection between emotions and lexical semantics. The authors first describe the construction of the data set used in evaluation exercise "Affective Text" task at SemEval 2007, annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and for Positive and Negative polarity. The authors also briefly describe the participating systems and their results. Second, exploiting the same data set, the authors propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of emotions in text.
- Hybrid Approach for Energy-Aware Synchronization
- This book chapter discusses a time synchronization scheme for wireless sensor networks that aims to save sensor battery power while maintaining network connectivity for as long as possible. It focuses on aspects of wireless sensor networks. These include designing a hybrid method between reference broadcast synchronization (RBS) and timing-sync protocol for sensor networks (TPSN) to reduce the number of transmissions required to synchronize an entire network, extending single-hop synchronization methods to operate in large multi-hop networks, verifying that the hybrid methods operate as desired by simulating against RBS and TPSN, and maintaining network connectivity and coverage.