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.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
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.
citing papers explorer
-
Android Instrumentation Testing in Continuous Integration: Practices, Patterns, and Performance
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.
-
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.