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.
Fri 25 SepDisplayed time zone: (UTC) Coordinated Universal Time change
08:00 - 10:35 | International Workshop on Software Engineering Automation: A Natural Language Perspective[Workshop] NLP-SEA at Kangaroo Chair(s): Sajid Anwer , Abdul Rauf RISE Research Institutes of Sweden, Mehrdad Saadatmand RISE SICS | ||
08:00 15mTalk | Boosting Component-based Synthesis with API Usage KnowledgeWorkshop [Workshop] NLP-SEA Jiaxin Liu National University of Defense Technology, Wei Dong School of Computer, National University of Defense Technology, China, Binbin Liu National University of Defense Technology | ||
08:20 15mTalk | Collective Intelligence for Smarter Neural Program SynthesisWorkshop [Workshop] NLP-SEA Daiyan Wang National University of Defense Technology, Wei Dong School of Computer, National University of Defense Technology, China, Yating Zhang National University of Defense Technology | ||
08:40 15mTalk | Predicting Software Design Patterns from Text using NeuralEmbeddingWorkshop [Workshop] NLP-SEA | ||
09:00 15mTalk | NLP-based Enhancement of Information Security in ITO Service Delivery – A Diffusion of Innovation Theory perspectiveWorkshop [Workshop] NLP-SEA Baber Majid Bhatti University of South Australia | ||
09:20 15mTalk | AutoEPRS-20: Extracting Business Process Redesign Suggestions from Natural Language TextWorkshop [Workshop] NLP-SEA Amina Mustansir PUCIT, University of the Punjab, Khurram Shahzad PUCIT, University of the Punjab, Muhammad Kamran Malik PUCIT, University of the Punjab | ||
09:40 15mTalk | Emotion Detection in Roman Urdu Text using Machine LearningWorkshop [Workshop] NLP-SEA Adil Majeed National University of Computer and Emerging Sciences, Islamabad, Pakistan, Hasan Mujtaba National University of Computer and Emerging Sciences, Islamabad, Pakistan, Mirza Omer Beg National University of Computer and Emerging Sciences, Islamabad, Pakistan | ||
10:00 15mTalk | Mapping Textual Feedback to Process Model ElementsWorkshop [Workshop] NLP-SEA Sanam Ahmed Punjab University College of Information Technology , University of the Punjab, Amina Mustansir PUCIT, University of the Punjab | ||
10:20 15mTalk | Roman Urdu Reviews Dataset for Aspect Based Opinion MiningWorkshop [Workshop] NLP-SEA Rabail Zahid National University of Computer and Emerging Sciences, Islamabad, Pakistan, Muhammad Owais Idrees National University of Computer and Emerging Sciences, Islamabad, Pakistan, Hasan Mujtaba National University of Computer and Emerging Sciences, Islamabad, Pakistan, Mirza Omer Beg National University of Computer and Emerging Sciences, Islamabad, Pakistan |