Emotion Detection in Roman Urdu Text using Machine LearningWorkshop
Emotion detection is playing a very important role in our life. People express their emotions in different ways i.e face expression, gestures, speech, and text. This research focuses on detecting emotions from the Roman Urdu text. Previously, A lot of work has been done on different languages for emotion detection but there is limited work done in Roman Urdu. Therefore, there is a need to explore Roman Urdu as it is the most widely used language on social media platforms for communication. One major issue for the Roman Urdu is the absence of benchmark corpora for emotion detection from text because language assets are essential for different natural language processing (NLP) tasks. There are many useful applications of the emotional analysis of a text such as improving the quality of products, dialog systems, investment trends, mental health. In this research, to focus on the emotional polarity of the Roman Urdu sentence we develop a comprehensive corpus of 18k sentences that are gathered from different domains and annotate it with six different classes. We applied different baseline algorithms like KNN, Decision tree, SVM, and Random Forest on our corpus. After experimentation and evaluation, the results showed that the SVM model achieves a better F-measure score.
Fri 25 Sep Times are displayed in time zone: (UTC) Coordinated Universal Time
08:00 - 10:35: International Workshop on Software Engineering Automation: A Natural Language Perspective[Workshop] NLP-SEA at Kangaroo Chair(s): Abdul RaufRISE Research Institutes of Sweden, Mehrdad SaadatmandRISE SICS, Sajid Anwer | |||
08:00 - 08:15 Talk | Boosting Component-based Synthesis with API Usage KnowledgeWorkshop [Workshop] NLP-SEA Jiaxin LiuNational University of Defense Technology, Wei DongSchool of Computer, National University of Defense Technology, China, Binbin LiuNational University of Defense Technology | ||
08:20 - 08:35 Talk | Collective Intelligence for Smarter Neural Program SynthesisWorkshop [Workshop] NLP-SEA Daiyan WangNational University of Defense Technology, Wei DongSchool of Computer, National University of Defense Technology, China, Yating ZhangNational University of Defense Technology | ||
08:40 - 08:55 Talk | Predicting Software Design Patterns from Text using NeuralEmbeddingWorkshop [Workshop] NLP-SEA | ||
09:00 - 09:15 Talk | NLP-based Enhancement of Information Security in ITO Service Delivery – A Diffusion of Innovation Theory perspectiveWorkshop [Workshop] NLP-SEA Baber Majid BhattiUniversity of South Australia | ||
09:20 - 09:35 Talk | AutoEPRS-20: Extracting Business Process Redesign Suggestions from Natural Language TextWorkshop [Workshop] NLP-SEA Amina MustansirPUCIT, University of the Punjab, Khurram ShahzadPUCIT, University of the Punjab, Muhammad Kamran MalikPUCIT, University of the Punjab | ||
09:40 - 09:55 Talk | Emotion Detection in Roman Urdu Text using Machine LearningWorkshop [Workshop] NLP-SEA Adil MajeedNational University of Computer and Emerging Sciences, Islamabad, Pakistan, Hasan MujtabaNational University of Computer and Emerging Sciences, Islamabad, Pakistan, Mirza Omer BegNational University of Computer and Emerging Sciences, Islamabad, Pakistan | ||
10:00 - 10:15 Talk | Mapping Textual Feedback to Process Model ElementsWorkshop [Workshop] NLP-SEA Sanam AhmedPunjab University College of Information Technology , University of the Punjab, Amina MustansirPUCIT, University of the Punjab | ||
10:20 - 10:35 Talk | Roman Urdu Reviews Dataset for Aspect Based Opinion MiningWorkshop [Workshop] NLP-SEA Rabail ZahidNational University of Computer and Emerging Sciences, Islamabad, Pakistan, Muhammad Owais IdreesNational University of Computer and Emerging Sciences, Islamabad, Pakistan, Hasan MujtabaNational University of Computer and Emerging Sciences, Islamabad, Pakistan, Mirza Omer BegNational University of Computer and Emerging Sciences, Islamabad, Pakistan |