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Oct 2, 2019 · The potential of using the contextual word representations from the pre-trained language model BERT, together with a fine-tuning method with additional generated text, in order to solve out-of-domain ABSA and outperform previous state- of-the-art results on SemEval-2015 Task 12 subtask 2 and Sem Eval-2016 Task 5 is shown. Sentiment analysis has become very popular in both research and business ... This paper presents a versatile approach to addressing sentiment analysis issues, based on multiple interpretations of sentiment labels that encode information regarding the polarity, subjectivity, and ambiguity of a text, as well as the presence of sarcasm or a mixture of sentiments. 11. Highly Influenced.

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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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