An Empirical Benchmarking of Traditional Machine Learning and DistilBERT-Based Zero-Shot Hierarchical Sentiment Analysis on Large-Scale Twitter Data
Text sentiment analysis of the social media text faces challenges posed by unstructured data and labori- ous human labeling for intent-driven, hierarchical classification. This work compares conventional ML models (SVM, Naïve Bayes, Logistic Regression) with contextual DL models (DistilBERT) in terms of their performan...