Selected thresholds of TextBlob, VADER, and AFINN lexicons.

مواد مشابهة

• Agreement and disagreement distribution among TextBlob, VADER, and AFINN lexicons for sentiment categorization across four datasets.
  حسب: Abdulrahman Alharbi (21144277)
  منشور في: (2025)
• Agreement and disagreement among TextBlob (TB), VADER (VD), and AFINN (AF) for all datasets.
  حسب: Abdulrahman Alharbi (21144277)
  منشور في: (2025)
• 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).
  حسب: Abdulrahman Alharbi (21144277)
  منشور في: (2025)
• The comparison of the average accuracy and average F1 score along with the standard deviation of TextBlob, VADER, AFINN, and the proposed TriLex approach. We test on three datasets: Sentiment140, Amazon Review, and US Airline Tweets Sentiment corresponding to the original labels.
  حسب: Abdulrahman Alharbi (21144277)
  منشور في: (2025)
• Performances of lexicons on the COVID-19 Vaccines dataset utilizing machine learning models and LSTM.
  حسب: Abdulrahman Alharbi (21144277)
  منشور في: (2025)