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Aspect Based Sentiment Analysis
The document discusses aspect-based sentiment analysis (ABSA) focused on analyzing customer reviews to extract opinions on product attributes. It outlines the methodology of aspect classification and sentiment classification, experiments with various models including deep learning approaches, and presents findings that show Bi-LSTM models outperform traditional methods. Future work is suggested to improve simultaneous modeling of aspects and polarity using multi-task learning and transfer learning techniques.
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