CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS
Natural languages are universal and flexible, but cannot exist without ambiguity. Having more than one attitude and meaning in the same phrase context is the main cause for word or phrase ambiguity. Most previous work on emotion analysis has only covered single-label classification and neglected the...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2019-08-01
|
| Series: | Jordanian Journal of Computers and Information Technology |
| Subjects: | |
| Online Access: | http://jjcit.org/Volume%2005,%20Number%2002/4-DOI%2010.5455-jjcit.71-1555697775.pdf |
| _version_ | 1811278788508516352 |
|---|---|
| author | S. S. Ibrahiem S. S. Ismail K. A. Bahnasy M. M. Aref |
| author_facet | S. S. Ibrahiem S. S. Ismail K. A. Bahnasy M. M. Aref |
| author_sort | S. S. Ibrahiem |
| collection | DOAJ |
| description | Natural languages are universal and flexible, but cannot exist without ambiguity. Having more than one attitude and meaning in the same phrase context is the main cause for word or phrase ambiguity. Most previous work on emotion analysis has only covered single-label classification and neglected the presence of multiple emotion labels in one instance. This paper presents multi-emotion classification in Twitter based on Convolutional Neural Networks (CNNs). The applied features are emotion lexicons, word embeddings and frequency distribution. The proposed networks performance is evaluated using state-of-the-art classification algorithms, achieving a hamming score range from 0.46 to 0.52 on the challenging SemEval2018 Task E-c. |
| first_indexed | 2024-04-13T00:42:03Z |
| format | Article |
| id | doaj.art-62c7ed6f20494f30a909a7700048c970 |
| institution | Directory Open Access Journal |
| issn | 2413-9351 2415-1076 |
| language | English |
| last_indexed | 2024-04-13T00:42:03Z |
| publishDate | 2019-08-01 |
| publisher | Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) |
| record_format | Article |
| series | Jordanian Journal of Computers and Information Technology |
| spelling | doaj.art-62c7ed6f20494f30a909a7700048c9702022-12-22T03:10:07ZengScientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)Jordanian Journal of Computers and Information Technology2413-93512415-10762019-08-010529710810.5455/jjcit.71-1555697775CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERSS. S. Ibrahiem0S. S. Ismail 1K. A. Bahnasy2M. M. Aref 3Department of Computer Science, Ain Shams University, Cairo, EgyptComputer Science Teacher, Ain Shams University, Cairo, EgyptInformation System Professor, Ain Shams University, Cairo, EgyptComputer Science Professor, Ain Shams University, Cairo, EgyptNatural languages are universal and flexible, but cannot exist without ambiguity. Having more than one attitude and meaning in the same phrase context is the main cause for word or phrase ambiguity. Most previous work on emotion analysis has only covered single-label classification and neglected the presence of multiple emotion labels in one instance. This paper presents multi-emotion classification in Twitter based on Convolutional Neural Networks (CNNs). The applied features are emotion lexicons, word embeddings and frequency distribution. The proposed networks performance is evaluated using state-of-the-art classification algorithms, achieving a hamming score range from 0.46 to 0.52 on the challenging SemEval2018 Task E-c.http://jjcit.org/Volume%2005,%20Number%2002/4-DOI%2010.5455-jjcit.71-1555697775.pdfEmotion classificationMulti-label classificationConvolutional neural networkTwitter |
| spellingShingle | S. S. Ibrahiem S. S. Ismail K. A. Bahnasy M. M. Aref CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS Jordanian Journal of Computers and Information Technology Emotion classification Multi-label classification Convolutional neural network |
| title | CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS |
| title_full | CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS |
| title_fullStr | CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS |
| title_full_unstemmed | CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS |
| title_short | CONVOLUTIONAL NEURAL NETWORK MULTI-EMOTION CLASSIFIERS |
| title_sort | convolutional neural network multi emotion classifiers |
| topic | Emotion classification Multi-label classification Convolutional neural network |
| url | http://jjcit.org/Volume%2005,%20Number%2002/4-DOI%2010.5455-jjcit.71-1555697775.pdf |
| work_keys_str_mv | AT ssibrahiem convolutionalneuralnetworkmultiemotionclassifiers AT ssismail convolutionalneuralnetworkmultiemotionclassifiers AT kabahnasy convolutionalneuralnetworkmultiemotionclassifiers AT mmaref convolutionalneuralnetworkmultiemotionclassifiers |