Semantics

Text Duplicated-checking Algorithm Implementation Based on Natural Language Semantic Analysis

Text Duplicated-checking Algorithm Implementation Based on Natural Language Semantic Analysis

Abstract Natural language is a tool and way to express the interaction between computer and human (NATURAL) language. At present, the analysis ability of text semantics is relatively mature. The […]

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Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model

Abstract Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification

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High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for

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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Abstract Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each

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High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for

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