Only 10.6% of Android repositories with CI run instrumentation tests, with community-based setups proving most reliable and efficient for daily checks while custom scripts offer flexibility at the cost of more reruns.
Term-weighting approaches in automatic text retrieval.Information Processing & Management, 24(5):513–523
2 Pith papers cite this work. Polarity classification is still indexing.
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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.