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Preprocessing Impact on Turkish Sentiment Analysis

机译：预处理对土耳其情感分析的影响

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摘要

This paper investigates the impact of preprocessing on sentiment classification of Turkish movies and products reviews. Input datasets were subjected to several combinations of preprocessing techniques. Later, the manipulated reviews were fed to a lexicon-based and a supervised machine learning sentiment classifiers. The achieved results emphasize the positive impact of preprocessing phase on the accuracy of both sentiment classifiers as the baseline was outperformed with a considerable margin especially when stemming, emoji recognition and negation detection tasks were applied.
机译：本文调查了预处理对土耳其电影和产品审查的情绪分类的影响。对输入数据集进行预处理技术的多种组合。后来，操纵评论被送往基于词汇和监督机器学习情绪分类器。所达到的结果强调预处理阶段对两种情绪分类器的准确性的积极影响，因为基线随着相当多的余量，特别是在威胁时，申请表情符号识别和否定检测任务。

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