... character recognition ( OCR ) limitations. This study aims to propose a deep learning-based framework for automatic metadata extraction from digitized books by integrating computer vision and natural language processing ( NLP ). Design/methodology/approach The framework uses MobileNetV2 to classify...

... on natural language processing ”, International Journal of Pervasive Computing and Communications , doi: 10.1108/ijpcc-09-2020-0121 . Priya , K.B. , Rajendran , P. , Kumar , S. , Prabhu , J. , Rajendran , S. , Kumar , P.J. , Thanapal , P. , Christopher , J...

... collected from February 2020 to July 2020. A total of 5,025 original Reddit posts were used for this study. Natural language processing, which is a part of machine learning, was used for this study to understand the sentiments of the general public about contact tracing. Latent Dirichlet allocation was used...

... the system have a better comprehension of the content of the news article. Ontology Semantic Web Named entity recognition Natural language processing Rule based extraction Semantic annotation Over the years, the Web has become a news publishing channel approaching a large quantity...

...‐learning environment means that it is a web‐based solution that performs language learning tasks using common working environments such as, for instance, web browsers or e‐mail clients. It should be accessible on different platforms, even on mobile devices. Natural language processing (NLP) forms...