Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI's 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes. He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis), and is involved in many international conferences as PC member, program chair, and speaker.

• Chapter 1. Introduction.- Chapter 2.- Revisiting the Literature.- Chapter 3. Theoretical Underpinnings on Text Mining.- Chapter 4. Computational Semantics for Asset Correlations.- Chapter 5. Sentiment Analysis for View Modeling.- Chapter 6. Storage and Update of Domain Knowledge.- Chapter 7. Dialog Systems and Robo-advisory.- Chapter 8. Concluding Remarks.- Appendix.- Index.

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI's 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes. He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis), and is involved in many international conferences as PC member, program chair, and speaker.

• Chapter 1. Introduction.- Chapter 2.- Revisiting the Literature.- Chapter 3. Theoretical Underpinnings on Text Mining.- Chapter 4. Computational Semantics for Asset Correlations.- Chapter 5. Sentiment Analysis for View Modeling.- Chapter 6. Storage and Update of Domain Knowledge.- Chapter 7. Dialog Systems and Robo-advisory.- Chapter 8. Concluding Remarks.- Appendix.- Index.

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI's 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes. He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis), and is involved in many international conferences as PC member, program chair, and speaker.

• Chapter 1. Introduction.- Chapter 2.- Revisiting the Literature.- Chapter 3. Theoretical Underpinnings on Text Mining.- Chapter 4. Computational Semantics for Asset Correlations.- Chapter 5. Sentiment Analysis for View Modeling.- Chapter 6. Storage and Update of Domain Knowledge.- Chapter 7. Dialog Systems and Robo-advisory.- Chapter 8. Concluding Remarks.- Appendix.- Index.