April 17, 2024, 4:46 a.m. | Yinan Chen

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.10503v1 Announce Type: new
Abstract: The field of natural language processing (NLP) has made significant progress with the rapid development of deep learning technologies. One of the research directions in text sentiment analysis is sentiment analysis of medical texts, which holds great potential for application in clinical diagnosis. However, the medical field currently lacks sufficient text datasets, and the effectiveness of sentiment analysis is greatly impacted by different model design approaches, which presents challenges. Therefore, this paper focuses on the …

abstract analysis application arxiv clinical cs.ai cs.cl deep learning development diagnosis however language language processing medical natural natural language natural language processing nlp processing progress research sentiment sentiment analysis technologies text type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India