The comparison of the accuracy and F1 score of TextBlob, VADER, AFINN, and the proposed approach: TriLex. We test on Sentiment140 and Amazon Review datasets corresponding to the three labels (positive, neutral, and negative).
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/The_comparison_of_the_accuracy_and_F1_score_of_TextBlob_VADER_AFINN_and_the_proposed_approach_TriLex_We_test_on_Sentiment140_and_Amazon_Review_datasets_corresponding_to_the_three_labels_positive_neutral_and_negative_/28819645
下载链接
链接失效反馈官方服务:
资源简介:
The comparison of the accuracy and F1 score of TextBlob, VADER, AFINN, and the proposed approach: TriLex. We test on Sentiment140 and Amazon Review datasets corresponding to the three labels (positive, neutral, and negative).
创建时间:
2025-04-17



