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93 articles for “Language Models”
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Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Mental Health Counseling Conversation Using Natural Language ProcessingSaad Ahmed, Sidrah Khurshid, Muhammad Imran et al.One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of high-quality data with labeled results. This research presents a quantitative analysis of relatively good-quality data scraped from an online counseling forum. The dataset comprises … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Moroccan Dialect Sentiment Analysis Using Arabic BERT-Based ModelsGhizlane Bourahouat, Manar Abourezq, Najima DaoudiThis study addresses the crucial task of sentiment analysis in natural language processing, with a particular focus on Arabic, especially dialectal Arabic, which has been relatively understudied due to inherent challenges. Our approach centers on sentiment analysis in Moroccan Arabic, leveraging BERT models that are pre-trained in the Arabic language, namely AraBERT, QARIB, ALBERT, AraELECTRA, and CAMeLBERT. These models are … …Journal of Computer Science, Vol. 20, Issue 2 · 27 Dec 2023 · 6,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing and Automating Customer Service Queries on Twitter Using Robotic Process AutomationT. N. Ram Kumar, Ganeshayya Shidaganti, Prarthana Anand et al.Several product companies have turned to social media to analyze customer satisfaction and provide customer service to disgruntled customers. Product twitter handles are flooded with tweets every day. Customer service professionals struggle to find and resolve complaints from numerous tweets, which results in high wait times for a response, huge costs for the company, and frustrated customers. Automating customer services … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 6,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis on User Reviews of Snapchat in IndonesiaEvaristus Didik Madyatmadja, Brigita Christabel Surya Winata, Evelyn Pradhan et al.This research explores the sentiment expressed in Snapchat user reviews within the Indonesian context, leveraging advanced natural language processing techniques and classification models. With a focus on the Indonesian user base, 8,015 reviews from the Google Play Store were analyzed using naive bayes, Support Vector Machines (SVM), and random forest models. The results indicated that the random forest model outperformed … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Jan 2025 · 5,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractTopic-Transformer for Document-Level Language UnderstandingOumaima Hourrane, El Habib BenlahmarAs long as natural language processing applications are considered prediction problems with insufficient context, usually referred to as a single sentence or paragraph, this does not reveal how humans perceive natural language. When reading a text, humans are sensitive to much more context, such as the rest or other relevant documents. This study focuses on simultaneously capturing syntax and global … …Journal of Computer Science, Vol. 18, Issue 1 · 22 Jan 2022 · 6,622 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning and Deep Learning for Phishing Email Classification using One-Hot EncodingSikha Bagui, Debarghya Nandi, Subhash Bagui, Robert Jamie WhiteRepresentation of text is a significant task in Natural Language Processing (NLP) and in recent years Deep Learning (DL) and Machine Learning (ML) have been widely used in various NLP tasks like topic classification, sentiment analysis and language translation. Until very recently, little work has been devoted to semantic analysis in phishing detection or phishing email detection. The novelty of … …Journal of Computer Science, Vol. 17, Issue 7 · 23 Jul 2021 · 10,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractSQL Generation from Natural Language: A Sequence-to-Sequence Model Powered by the Transformers Architecture and Association RulesYoussef Mellah, Abdelkader Rhouati, El Hassane Ettifouri et al.Using Natural Language (NL) to interacting with relational databases allows users from any background to easily query and analyze large amounts of data. This requires a system that understands user questions and automatically converts them into structured query language such as SQL. The best performing Text-to-SQL systems use supervised learning (usually formulated as a classification problem) by approaching this task … …Journal of Computer Science, Vol. 17, Issue 5 · 23 May 2021 · 10,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractModelling IoT Systems with UML: A Case Study for Monitoring and Predicting Power ConsumptionMarla Teresinha Barbosa Geller, Anderson Alvarenga de Moura MenesesSoftware Engineering has evolved to meet the growing complexity of current systems and the resources of the Unified Modeling Language (UML) enable the modeling of such systems in different views. The Internet of Things (IoT) paradigm appears with very peculiar characteristics such as the heterogeneity of its physical and virtual components that must be integrated. Designing systems of this nature … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 1 Feb 2021 · 8,363 accessesView PDFCite