Work

Research and Implementation of Text Classification Based on BERT Model

Year: 2025

Type: conference-paper

Abstract: This paper focuses on automatic text classification using the BERT model. [1] It optimizes word vectors in the embedding layer, extracts context features with a two - layer GRU, and classifies via the attention mechanism. Model comparisons show that the BERT - two - layer GRU model has high accuracy. Using BERT and adding title - based keywords can enhance classification accuracy.

Source: International Conference on Computer Information and Big Data Applications (CIBDA)

DOI: 10.1145/3746709.3746721

Author: Qianqian Cheng

Institution: Wuhan Donghu University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4413845294

FWCI: 1.059

Cites: 4

Cited by: 1

Related to: 10