all AI news
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. (arXiv:2208.14244v1 [cs.CL])
Aug. 31, 2022, 1:13 a.m. | Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
cs.CL updates on arXiv.org arxiv.org
It is often difficult to correctly infer a writer's emotion from text
exchanged online, and differences in recognition between writers and readers
can be problematic. In this paper, we propose a new framework for detecting
sentences that create differences in emotion recognition between the writer and
the reader and for detecting the kinds of expressions that cause such
differences. The proposed framework consists of a bidirectional encoder
representations from transformers (BERT)-based detector that detects sentences
causing differences in emotion recognition …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV