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