Detecting Emotion from Text and Emoticon

London Journal of Research in Computer Science and Technology
Volume | Issue | Compilation
Authored by Romana Rahman , Tajul Islam, Md. Humayan Ahmed
Classification: H.5.2
Keywords: emotion class, emotion database, proverbs, emoticon, human-computer interaction.
Language: English

Emotion detection from text and emoticon is related to the field of NLP (natural language processing). To detect emotion from text and emoticon, here we proposed some methodology. These methodologies solve the problem of detecting the emotion in the case of sentence level and emoticon. Our created method works based on keyword analysis (KA), keyword negation analysis (KNA), a set of proverbs, emoticon, short form of words, exclamatory word and so on. To find emotion we created 25 emotion classes. This analysis should generate a better result for detecting emotion from the text and emoticon. Our method should give 80% accuracy.


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