Preface

摘要

In recent times, research activities in the areas of Opinion, Sentiment and/or Emotion in natural language texts and other media are gaining ground under the umbrella of affect computing. Huge amount of text data are available in the Social Web in the form of news, reviews, blogs, chats and even twitter. Sentiment analysis from natural language text is a multifaceted and multidisciplinary problem. The existing reported solutions or available systems are still far from perfect or fail to meet the satisfaction level of the end users. There are many conceptual rules that govern sentiment and there are even more clues (possibly unlimited) that can map these concepts from realization to verbalization of a human being. Human psychology that relates to social, cultural, behavioral and environmental aspects of civilization may provide the unrevealed clues and govern the sentiment realization. In the present scenario we need constant research endeavors to reveal and incorporate the human psychological knowledge into machines in the best possible ways. The important issues that need attention include how various psychological phenomena can be explained in computational terms and the various artificial intelligence (AI) concepts and computer modeling methodologies that are most useful from the psychologist's point of view.