Logistic Regression with TF-IDF achieved 73.5% accuracy and outperformed BiLSTM at 69.17% on a 10k-tweet subset of Sentiment140, with the deep model showing mild overfitting.
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A Comparative Analysis of Machine Learning and Deep Learning Models for Tweet Sentiment Classification: A Case Study on the Sentiment140 Dataset
Logistic Regression with TF-IDF achieved 73.5% accuracy and outperformed BiLSTM at 69.17% on a 10k-tweet subset of Sentiment140, with the deep model showing mild overfitting.