Named entity recognition and emotional viewpoint monitoring in online news using artificial intelligence.

ABSTRACT: Network news is an important way for netizens to get social information. Massive news information hinders netizens to get key information. Named entity recognition technology under artificial background can realize the classification of place, date and other information in text information. This article combines named entity recognition and deep learning technology. Specifically, the proposed method introduces an automatic annotation approach for Chinese entity triggers and a Named Entity Recognition (NER) model that can achieve high accuracy with a small number of training data sets. The method jointly trains sentence and trigger vectors through a trigger-matching network, utilizing the trigger vectors as attention queries for subsequent sequence annotation models. Furthermore, the propos

SUBMITTER: Tu M 

PROVIDER: S-EPMC10803082 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature