DocumentCode :
573581
Title :
Emotions from Farsi texts with mutual-word-counting and word-spotting
Author :
Jahromi, Amir Namavar ; Homayounpour, Mohammad Mehdi
Author_Institution :
IT Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
339
Lastpage :
342
Abstract :
Automatic emotion sensing of textual data plays a crucial role in development of many intelligent applications. The objective of this paper is to design a system for sensing of a Farsi sentence emotion. The final goal of this work is to use it with Farsi TTS and SDS systems and make it possible to synthesis sentences with their emotions. Four emotions where considered and four sensing methods including (1) word counting, (2) mutual word counting, (3) word-spotting, and (4) combination of mutual word counting and word-spotting were used. The performance of this system was evaluated using these methods including 10-Fold Cross-Validation and was shown that the combination of mutual word counting and word-spotting is the best with the accuracy of about 82%. It was observed that the amount of labeled training data and the type of sentences have an important role in the system performance.
Keywords :
emotion recognition; natural language processing; text analysis; Farsi TTS; Farsi sentence emotion; Farsi texts; SDS systems; automatic emotion sensing; mutual word counting; mutual-word-counting; word counting; word-spotting; Accuracy; Computers; Dictionaries; Emotion recognition; Pragmatics; Psychology; Sensors; emotion sensing; mutual-word-counting; word-counting; word-spotting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
Type :
conf
DOI :
10.1109/AISP.2012.6313769
Filename :
6313769
Link To Document :
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