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In this paper, we propose a novel target-dependent graph attention network (TD-GAT) for aspect level sentiment classification, which explicitly utilizes the …

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Dec 21, 2023 · Sentiment analysis is the contextual meaning of words that indicates the social sentiment of a brand and also helps the business to determine whether the product they are manufacturing is going to make a demand in the market or not. According to the survey,80% of the world’s data is unstructured. The data needs to be analyzed and be in a ...

Mar 19, 2023 · 2. Related Works This section reviews the state-of-the-art approaches for sentiment analysis. The existing methods can be broadly divided into two categories: machine learning and deep learning. 2.1. Machine Learning Approaches Hemakala and Santhoshkumar (2018) [3] conducted sentiment analysis on a dataset

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