App Reviews Sentiment: A Binary Sentiment Classification Corpus from Google Play Store
App Reviews Sentiment: A Binary Sentiment Classification Corpus from Google Play Store
A manually annotated binary sentiment classification corpus of 1,154 English-language Google Play Store user reviews from 16 applications across 8 categories. The dataset provides two class-balanced subsets: App Reviews Short (682 samples, ≤2 sentences) and App Reviews Long (194 samples, 3+ sentences), designed as cross-domain analogs to SST-2 and IMDB respectively. Inter-annotator agreement: Cohen's κ = 0.982. Accompanying dataset for the paper: Quantum-Enhanced Multi-Head Attention for Low-Resource NLP
binary classificiation, low-resource NLP, text classification, app reviews, quantum NLP, Sentiment Analysis, few-shot learning, NLP
binary classificiation, low-resource NLP, text classification, app reviews, quantum NLP, Sentiment Analysis, few-shot learning, NLP
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