main webpage W Topic Machine Learning ACM Transactions on Asian and Low-Resource Language Information Processing • Vol 23 • No 1 Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures 2023 When tested with popular datasets, sentiment categorization using deep learning (DL) algorithms will produce positive results. Building a corpus on novel themes to train machine learning methods in sentiment classification with high assurance, however, will b… Article Open Machine Learning Open Article Page

Machine Learning

Study of algorithms that improve automatically through experience Machine learning ( ML ) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page

Exploring foci of: ACM Transactions on Asian and Low-Resource Language Information Processing • Vol 23 • No 1 Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures 2023 When tested with popular datasets, sentiment categorization using deep learning (DL) algorithms will produce positive results. Building a corpus on novel themes to train machine learning methods in sentiment classification with high assurance, however, will be difficult. This study proposes a way for representing efficient features of a dataset into a word embedding layer of DL methods in sentiment classification known as KPRO (knowledge processing and representation based on ontology), a procedure to embed knowle… Open Article Page

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Explore Machine Learning W Topic Machine Learning ACM Transactions on Asian and Low-Resource Language Information Processing • Vol 23 • No 1 Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures 2023 When tested with popular datasets, sentiment categorization using deep learning (DL) algorithms will produce positive results. Building a corpus on novel themes to train machine learning methods in sentiment classification with high assurance, however, will b… Article Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page