Sentic Computing (eBook)

Introduction1.1 Sentic Computing  1.1.1 Motivations  1.1.2 Aims  1.1.3 MethodologyBackground 2.1 Opinion Mining and Sentiment Analysis  2.1.1 The Buzz Mechanism  2.1.2 Origins and Peculiarities  2.1.3 Sub-Tasks2.2 Main Approaches to Opinion Mining  2.2.1 From Heuristics to Discourse Structure  2.2.2 From Coarse to Fine Grained  2.2.3 From Keywords to Concepts2.3 Towards Machines with Common Sense  2.3.1 The Importance of Common Sense  2.3.2 Knowledge Representation  2.3.3 From Logical Inference to Digital Intuition2.4 ConclusionsTechniques3.1 Affective Blending: Enabling Emotion-Sensitive Inference  3.1.1 AffectNet  3.1.2 AffectiveSpace3.2 Affective Categorisation: Modelling Human Emotions  3.2.1 Categorical Versus Dimensional Approaches  3.2.2 The Hourglass of Emotions3.3 Sentic Medoids: Clustering Affective Common Sense Concepts  3.3.1 Partitioning Around Medoids  3.3.2 Centroid Selection3.4 Sentic Activation: A Two-Level Affective Reasoning Framework  3.4.1 Unconscious Reasoning  3.4.2 Conscious Reasoning3.5 Sentic Panalogy: Switching Between Different Ways to Think  3.5.1 Changing Reasoning Strategies  3.5.2 Changing Reasoning Foci3.6 ConclusionsTools4.1 SenticNet: A Semantic Resource for Opinion Mining  4.1.1 Building SenticNet  4.1.2 Working with SenticNet4.2 Sentic Neural Networks: Brain-Inspired Affective Reasoning  4.2.1 Discrete Versus Continuous Approach  4.2.2 Affective Learning4.3 Open Mind Common Sentics: An Emotion-Sensitive IUI  4.3.1 Games for Knowledge Acquisition  4.3.2 Collecting Affective Common Sense Knowledge4.4 Isanette: A Common and Common Sense Knowledge Base  4.4.1 Probase  4.4.2 Building the Instance-Concept Matrix4.5 Opinion Mining Engine: Structuring the Unstructured  4.5.1 Constitutive Modules  4.5.2 Evaluation4.6 ConclusionsApplications5.1 Development of Social Web Systems  5.1.1 Troll Filtering  5.1.2 Social Media Marketing  5.1.3 Sentic Album5.2 Development of HCI Systems  5.2.1 Sentic Avatar  5.2.2 Sentic Chat  5.2.3 Sentic Corner5.3 Development of E-Health Systems  5.3.1 Crowd Validation  5.3.2 Sentic PROMs5.4 ConclusionsConcluding Remarks6.1 Summary of Contributions  6.1.1 Techniques  6.1.2 Tools  6.1.3 Applications6.2 Limitations and Future Work  6.2.1 Limitations  6.2.2 Future Work6.3 ConclusionsReferences