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#data-preprocessing News & Analysis

2 articles tagged with #data-preprocessing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · May 285/10
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Improving Requirements Classification with SMOTE-Tomek Preprocessing

Researchers applied SMOTE-Tomek preprocessing to address class imbalance in requirements engineering classification, achieving 76.16% accuracy with logistic regression compared to a 58.31% baseline. The technique combines synthetic minority oversampling with Tomek link removal and stratified K-fold validation on the PROMISE dataset of 969 categorized requirements.

AINeutralarXiv – CS AI · Apr 206/10
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Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)

Researchers introduce SSAS, a framework that improves LLM consistency for sentiment analysis by applying hierarchical classification and iterative summarization to enforce bounded attention on raw text. Testing on three standard datasets shows the method reduces analytical variance by up to 30%, addressing the fundamental challenge of using non-deterministic LLMs for enterprise-grade analytics.

🧠 Gemini