… The data gleaned in this manner will offer a preponderance of evidence supporting the
researcher… by experts in the NLP domain along with those working in the sentiment analysis area. …

… This often involves NLP subtasks based on syntactic and semantic analysis, defined in Table
1, such as tokenisation, lemmatisation and word sense disambiguation [5,29]. The overall …

… tool for clinical decision support, … analysis of text and speech to interpretate natural
language, determine the meaning, and identify the context using syntactic and semantic analysis…

… We take a broad view of natural language processing techniques, namely, any work that
computationally represents, transforms, or utilizes text (or speech) and its derivatives. Thus, …

Electronic health records (EHR) contain large volumes of unstructured text, requiring the
application of information extraction (IE) technologies to enable clinical analysis. We present …

… Survival analysis plays an important role for clinical decision support. In oncology care, the
… that combines semantic data mining with neural embeddings of sequential clinical notes and …

… This paper demonstrates the simplest and least computationally intensive form sentiment
analysis (the use of a publicly available lexicon only), but more advanced techniques have …

… natural language processing (NLP) methods to automatically transform clinical text into
structured clinical data that can guide clinical … in clinical settings to help decision support systems …

… /Epidemiology, Language Discovery and Knowledge Structure, Technical NLP. The main
difference is we found no evidence for a category of Clinical Support Services which described …

… hospitals improve their service quality and patient experience. Such analysis required
substantial … this work easier and greatly improves the efficiency of sentiment analysis [166]–[168]. …