20191119_sentiment_einberufung_2._aogv_03.12.2019.pdf.

document can be extracted using sentiment analysis. This paper gives an overview of the sentiment analysis process and machine-learning methods. Collecting data, pre …

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• Microaggressions (Breitfeller et al. 2019) • Condescension (Wang and Potts 2019) • Sarcasm (Khodak et al. 2017) • Deception and betrayal (Niculae et al. 2015) • Online trolls (Cheng et al. 2017) • Polarization (Gentzkow et al. 2019) • Politeness (Danescu-Niculescu-Mizil et al. 2013) • Linguistic alignment (Doyle et al. 2016) 7/57 Mar 24, 2023 · Aspect-based sentiment analysis aims to extract aspect and opinion terms, and identify the sentiment polarities for such terms. The majority of research has proposed effective methods in individual subtasks, and some multi-task learning models have been designed to deal with combining two subtasks, such as extracting aspect terms and opinions in pairs. Recently, there have been some studies on ...

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= 0.03, γ = 2, α = 0.08. The algorithms were run 10 times, with each run of a population size of 100 in 500 itera- tions, and their results are shown in Table 3 .

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