Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015
Text Based Emotion Recognition: A Survey
Chetan R. Chopade
Abstract: Human Computer interaction is a very powerful and most current area of research because the human world is getting more digitize. This needs the digital systems to imitate the human behaviour correctly. Emotion is one aspect of human behaviour which plays an important role in human computer interaction, the computer interfaces need to recognize the emotion of the users in order to exhibit a truly intelligent behaviour. Human express the emotion in the form facial expression, speech, and writing text. Every day, massive amount of textual data is gathered into internet such as blogs, social media etc. This comprise a challenging style as it is formed with both plaint text and short messaging language. This paper is mainly focused on an overview of emotion detection from text and describes the emotion detection methods. These methods are divided into the following four main categories -based, Lexical Affinity method, learning based, and hybrid based approach. Limitations of these emotion recognition methods are presented in this paper and also, addresses the text normalization using different handling techniques for both plaint text and short messaging language.
Keywords: keyword based, Lexical Affinity method, learning based, hybrid based approach, short messaging language
Edition: Volume 4 Issue 6, June 2015,
Pages: 409 - 414
How to Cite this Article?
Chetan R. Chopade, "Text Based Emotion Recognition: A Survey", International Journal of Science and Research (IJSR), Volume 4 Issue 6, June 2015, pp. 409-414, https://www.ijsr.net/get_abstract.php?paper_id=SUB155271
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