Model: undertheseanlp/pulse_core_1
Author: undertheseanlp
Pipeline: text-classification
Library: scikit-learn
Tags: scikit-learn, joblib, sklearn, text-classification, vietnamese, nlp, pulse, tf-idf, logistic-regression, svc, support-vector-classification, aspect-sentiment-analysis, banking, financial-nlp, vi, dataset:undertheseanlp/UTS2017_Bank, dataset:ura-hcmut/vlsp2016, doi:10.57967/hf/6605, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
library_name: scikit-learn
tags: scikit-learn, sklearn, text-classification, vietnamese, nlp, pulse, tf-idf, logistic-regression, svc, support-vector-classification, aspect-sentiment-analysis, banking, financial-nlp
datasets: undertheseanlp/UTS2017_Bank, ura-hcmut/vlsp2016
metrics: accuracy, precision, recall, f1-score
model-index: name: pulse-core-1
results: task: type: text-classification
name: Vietnamese General Sentiment Analysis
dataset: name: VLSP2016
type: ura-hcmut/vlsp2016
metrics: type: accuracy
value: 0.7114
name: Test Accuracy (SVC Linear)
verified: no, type: accuracy
value: 0.7019
name: Test Accuracy (Logistic Regression)
verified: no, type: f1-score
value: 0.713
name: Weighted F1-Score (SVC)
verified: no, type: f1-score
value: 0.703
name: Weighted F1-Score (Logistic Regression)
verified: no, task: type: text-classification
name: Vietnamese Banking Aspect Sentiment Analysis
dataset: name: UTS2017_Bank
type: undertheseanlp/UTS2017_Bank
metrics: type: accuracy
value: 0.7172
name: Test Accuracy (SVC)
verified: no, type: accuracy
value: 0.6818
name: Test Accuracy (Logistic Regression)
verified: no, type: precision
value: 0.65
name: Weighted Precision (SVC)
verified: no, type: recall
value: 0.72
name: Weighted Recall (SVC)
verified: no, type: f1-score
value: 0.66
name: Weighted F1-Score (SVC)
verified: no, type: f1-score
value: 0.66
name: Weighted F1-Score (Logistic Regression)
verified: no
language: vi
pipeline_tag: text-classification
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Created: 2025-09-28 04:30:48