SAAIP 2016
Sentiment Analysis where AI meets Psychology

Table of Contents

• Preface
  
  

Session 1

• 7 Essential Principles to Make Multimodal Sentiment Analysis Work in the Wild (Invited Talk) 1
  Björn W. Schuller
• WISE: Web-based Interactive Speech Emotion Classification 2-7
  Sefik Emre Eskimez, Melissa Sturge-Apple, Zhiyao Duan, Wendi Heinzelman

Session 2

• Exposing a Set of Fine-Grained Emotion Categories from Tweets 8-14
  Jasy Suet Yan Liew, Howard R. Turtle
• SMILES: Twitter Emotion Classification using Domain 15-21
  Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter, Eric Jensen
• Personality Trait Classification of Essays with the Application of Feature Reduction 22-28
  Edward P. Tighe, Jennifer C. Ureta, Bernard Andrei L. Pollo, Charibeth K. Cheng, Remedios De Dios Bulos
• Enhanced Sentiment Classification of Telugu Text using ML Techniques 29-34
  Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi

Session 3

• A Hybrid Approach Based Sentiment Extraction from Medical Context 35-40
  Anupam Mondal, Ranjan Satapathy, Dipankar Das, Sivaji Bandyopadhyay
• Praiseworthy Acts Recognition Using Web-based Knowledge and Semantic Categories 41-47
  Rafal Rzepka, Kohei Matsumoto, Kenji Araki
• Multimodal Sentiment Analysis of Telugu Songs 48-52
  Harika Abburi, Eswar Sai Akhil Akkireddy, Suryakanth Gangashetti, Radhika Mamidi