A5058386270- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Web Data Mining and Analysis
- Cinema and Media Studies
- COVID-19 and Mental Health
- Smart Cities and Technologies
- Green IT and Sustainability
- Recommender Systems and Techniques
- Urban Transport and Accessibility
- Video Analysis and Summarization
- Urban Design and Spatial Analysis
- Organizational and Employee Performance
- Data Quality and Management
- Digital Marketing and Social Media
- Consumer Retail Behavior Studies
- Technology-Enhanced Education Studies
- Transportation Planning and Optimization
- Spam and Phishing Detection
- Sexuality, Behavior, and Technology
National University of Malaysia
2017-2021
Recently. recommender systems have become a very crucial application in the online market and e-commerce as users are often astounded by choices preferences they need help finding what best looking for. Recommender proven to overcome information overload issues retrieval of information, but still suffer from persistent problems related cold-start data sparsity. On flip side, sentiment analysis technique has been known translating text expressing user preferences. It is used businesses...
This paper aims to propose an automated sentiment lexicon generation model specifically designed for the Malay language. Lexicon-based Sentiment Analysis (SA) models make use of a SA tasks, which is linguistic resource that comprises priori information about properties words. A indispensable tasks. evident in emergence large volume research focused on development algorithms. not case low-resource languages such as Malay, there lack this particular area. has brought up motivation algorithm...
Extracting people’s opinions from social media has attracted a large number of studies over the years. This is as result growing popularity media. People share their sentiments and via these platforms. Therefore, extracting analyzing beneficial in many ways, for example, business intelligence. However, despite on data, only fraction focuses its practical application. In this study, we focus use product reviews identifying whether signify intention purchase or not. propose novel lexicon-based...
Purpose Sequel movies are very popular; however, there limited studies on sequel movie revenue prediction. The purpose of this paper is to propose a sentiment analysis based model for prediction and missing value imputation method the dataset. Design/methodology/approach A successful will most likely also be successful. Therefore, we supervised learning approach in which data created from predict box-office an upcoming sequel. algorithms used multiple linear regression, support vector...
Abstract The aim of this study is to conduct a comparative on walkability using both streamlines. Two popular streets in North Cyprus, Ismet Inonu Boulevard Famagusta and Osman Pasha Street Nicosia are selected for study. To fulfill the study, mix-method approach used. In qualitative phase Pedestrian Environment Data Scan (PEDS) exploited. This tool directs observation through several items. quantitative performed by proposing model considering different dimensions suggested literature....