方法证据记录
Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained natural-language-processing task that detects sentiment separately for each aspect or feature mentioned in a text — such as a product's quality, price, or service — rather than scoring the document as a whole. It was consolidated as a shared task by Pontiki et al. in SemEval-2014 Task 4.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Aspect-Based Sentiment Analysis (ABSA)
分类方法记录 · process-pipeline / text-mining
- Pontiki, M. et al. (2014). SemEval-2014 Task 4: Aspect Based Sentiment Analysis. Proceedings of SemEval 2014, 27-35. · DOI 10.3115/v1/S14-2004
- Schouten, K. & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813-830. · DOI 10.1109/TKDE.2015.2485209
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