土耳其人对科技公司评论的极性检测

2014 International Conference on Asian Language Processing (IALP) Pub Date : 2014-12-04 DOI:10.1109/IALP.2014.6973514

Gözde Gül Şahin, Harun Resit Zafer, E. Adali

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引用次数: 3

摘要

在这项研究中，关于科技品牌的评论是从一个受欢迎的土耳其网站eksisözlük上收集的，并分为正面或负面。土耳其语文本用不同的过滤器进行预处理，然后用1克、2克和3克语言模型建模。将朴素贝叶斯(NB)、支持向量机(SVM)和K近邻(KNN)分类器应用于预处理技术、语言模型和语言属性的不同配置进行比较。我们在测试数据集上测量的最佳f值为0,696。

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Polarity detection of Turkish comments on technology companies

In this study, comments about technology brands are collected from a popular Turkish website, eksisözlük, and classified as positive or negative. Turkish text is preprocessed with different kinds of filters and then modeled with 1-gram, 2-grams and 3-grams language models. Naive Bayes (NB), Support Vector Machines (SVM) and K nearest neighbor (KNN) classifiers are applied on different configurations of preprocessing techniques, language models and linguistic attributes for comparison. We measured best F-measure as 0,696 on our test dataset.

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2014 International Conference on Asian Language Processing (IALP)

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