jiangqn/Aspect-Based-Sentiment-Analysis

Curated collection of peer-reviewed papers, datasets, and code implementations spanning aspect-based sentiment analysis research from 2014 onwards, covering classification, extraction, and opinion mining tasks across multiple domains (reviews, social media, location-based). Organizes papers by subtask (aspect classification, aspect extraction, aspect term extraction) with direct links to published papers, benchmark datasets (SemEval-2014, MAMS, Twitter, SentiHood), and model implementations, enabling researchers to track methodological evolution from RNNs through attention mechanisms to memory networks.

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