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Research ArticleOpen accessIn the keywordsLeveraging Transformer Model for Data-Driven Requirement Engineering: A Case Study of NLP4RE E-Commerce Business Apps in Malaysia and IndonesiaDevi Yurisca Bernanda, Dayang Norhayati Abang Jawawi, Shahliza Abd Halim et al.Data-Driven Requirement Engineering (DDRE) marks a departure from conventional methods, embracing dynamic, user-centric strategies with the help of machine learning and artificial intelligence. As software systems grow more intricate and demand adaptability, a continuous software engineering approach becomes crucial. However, this shift poses challenges in handling data inconsistencies during the elicitation process, leading to software development shortcomings. This study tackles … …Journal of Computer Science, Vol. 20, Issue 11 · 2 Oct 2024 · 5,139 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm DetectionMohammed M. AL-Ani, Nazlia Omar, Ahmed Adil NafeaSarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown great performance with word-level analysis. However, once a sequence of terms is being … …Journal of Computer Science, Vol. 17, Issue 11 · 1 Dec 2021 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing TechniqueWaheeda AlmayyanSentiment analysis is one of the most popular domains for natural language text classification, crucial for improving information extraction. However, massive data availability is one of the biggest problems for opinion mining due to accuracy considerations. Selecting high discriminative features from an opinion mining database is still an ongoing research topic. This study presents a two-stage heuristic feature selection method … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,538 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuture Emoji Entry Prediction Using Neural NetworksHelen Wilfred Raj, Santhi BalachandranIn today’s world, textual data has made momentous progress in social media. The rise of digital communication via text has paved the way to emoji, a pictographically represented way of expressing emotions. In digital communication, Emoji gives a visual appeal to the text, which improves communication and new vistas of exchange and creativity. While emoji entry prediction based on text … …Journal of Computer Science, Vol. 16, Issue 2 · 10 Aug 2019 · 9,145 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOpinion Extraction on Online Malay TextSurendran Selvaraju, Kalaiarasi Sonai Muthu AnbananthenGrowing of social media usage present a new set of opportunities and challenges in the way of information is retrieved and searched. Opinions on social media has become an important factor in influencing people choices on purchasing a product and service. Hence, sentiment analysis has become the most crucial tool in tracking people feedbacks on products and services. For Malay … …American Journal of Applied Sciences, Vol. 16, Issue 4 · 12 Jun 2019 · 7,606 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Generation of Malay LexiconKalaiarasi Sonai Muthu Anbananthen, Surendran Selvaraju, Jaya Kumar KrishnanThe most important element in analyzing sentiment in text is to assign polarity to the opinion words. Polarity means the positive, negative or neutral state of the opinion words. They are many methods or ways in determining the polarity of an opinion words. One of the methods is using lexicon-based method. Lexicons are digital library of opinion words together with … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 14 Apr 2017 · 8,215 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA HYBRID METHOD USING LEXICON-BASED APPROACH AND NAIVE BAYES CLASSIFIER FOR ARABIC OPINION QUESTION ANSWERINGKhalid Khalifa, Nazlia OmarOpinion Question Answering (Opinion QA) is the task of enabling users to explore others opinions toward a particular service of product in order to make decisions. Arabic Opinion QA is more challenging due to its complex morphology compared to other languages and has many varieties dialects. On the other hand, there are insignificant research efforts and resources available that focus … …Journal of Computer Science, Vol. 10, Issue 10 · 13 May 2014 · 7,880 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Crisis and Macroeconomic Variables towards Islamic Banking DepositsMuhamad Abduh, Mohd Azmi Omar, Jarita DuasaProblem statement: The nature of Islamic banks is different from conventional banks which may lead to a different deposit behavior of their depositors. This study aims to analyze the dynamic effects of interest and profit rate changes, production level, inflation and financial crisis towards the fluctuation of total deposits in Malaysian Islamic banks. Approach: Using monthly data from January 2000 … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 29 Oct 2011 · 7,688 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeterminants of Poster Reputation on Internet Stock Message BoardsYing ZhangProblem statement: I investigate the determinants of poster reputation in a user-rewarding reputation system on Thelion!WallStreetPit stock message board. My empirical analyses deal with two hypotheses: First, is a poster’s reputation affected by his/her characteristics at the time the message was posted? Second, is reputation also associated with the characteristics of the stock to which the message refers? Approach: To … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,799 accessesView PDFCite