Roman Urdu Reviews Dataset for Aspect Based Opinion MiningWorkshop
Social media, today, demonstrates the rapid growth of modern society as it becomes the main platform for Internet users to communicate and express themselves. People around the world, use a number of devices and resources to access the Internet, set up social networks, conduct online business, e-commerce, e-surveys, etc. Currently, social media is not only a technology that provides information to consumers, it also encourages users to connect and share their views and perspectives. It leads to an increase in inspiration towards Opinion Mining (OM), which is important for both customers and companies in making decisions. Individuals like to see the opinions provided by other customers about a particular product or a service. Companies need to analyze their customer’s feedback to strengthen their business decisions. A lot of research has been performed in various languages in the field of Aspect Based OM (ABOM). However, there are still certain languages that need to be explored, such as Roman Urdu (RU). This paper presents a proposed reviews data-set (a RU data-set) of mobile reviews that has been manually annotated with multi-aspect sentiment labels at the sentence-level. It presents base-line results using different Machine Learning (ML) algorithms. The results demonstrate 71% F1-score for aspect detection and 64% for aspect-based polarity.
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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 |