Dipankar Das

Dipankar Das Jadavpur University

Key research interests: Emotion Analysis on Natural Language Text, Emotion Holder and Topic Identification, Tracking Emotions, Emotion Annotation

CFP: Workshop on SAAIP: “Sentiment Analysis where AI meets Psychology” in conjunction with IJCNLP 2011, Chiang-Mai, Thailand

Call for Papers in the Workshop on SAAIP: “Sentiment Analysis where AI meets Psychology” http://www.saaip.org/ IJCNLP 2011 Workshop, November 13, 2011 Chiang-Mai, Thailand This workshop aims to bring together the researchers in multiple disciplines such as computer science, psychology, cognitive science, social science and many more who are interested in developing next generation machines that can recognize and respond to the sentimental states of the human users and serve the society.

CFP: Workshop on SAAIP: “Sentiment Analysis where AI meets Psychology” in conjunction with IJCNLP 2011, Chiang-Mai, Thailand

Workshop Title: SAAIP: “Sentiment Analysis where AI meets Psychology” (http://www.saaip.org/) IJCNLP 2011 Workshop, November 13, 2011 Chiang-Mai, Thailand This workshop aims to bring together the researchers in multiple disciplines such as computer science, psychology, cognitive science, social science and many more who are interested in developing next generation machines that can recognize and respond to the sentimental states of the human users and serve the society.

CFP: Workshop on SAAIP: “Sentiment Analysis where AI meets Psychology” in conjunction with IJCNLP 2011, Chiang-Mai, Thailand

Workshop Title: SAAIP: “Sentiment Analysis where AI meets Psychology” (http://www.saaip.org/) IJCNLP 2011 Workshop, November 13, 2011 Chiang-Mai, Thailand This workshop aims to bring together the researchers in multiple disciplines such as computer science, psychology, cognitive science, social science and many more who are interested in developing next generation machines that can recognize and respond to the sentimental states of the human users and serve the society.

Favorites

 

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CFP: BIOMSA - Brain Inspired Opinion Mining and Sentiment Analysis

Due to many challenging research problems and a wide variety of practical applications, opinion mining and sentiment analysis have become very active research areas in the last decade. Our understanding and knowledge of the problem and its solution are still limited as natural language understanding techniques are still pretty weak. Most of current research in sentiment analysis, in fact, merely relies on machine learning algorithms. Such algorithms, despite most of them being very effective, produce no human understandable results such that we know little about how and why output values are obtained. All such approaches, moreover, rely on syntactical structure of text, which is far from the way human mind processes natural language. The main aim of this IEEE ICCI*CC’12 special session is to examine the new frontiers of opinion mining and sentiment analysis by proposing brain inspired techniques that could allow to better extract and aggregate the cognitive and affective information associated with natural language text.