The Impact of NLP on Turkish Sentiment Analysis
The Impact of NLP on Turkish Sentiment Analysis
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NLP 对土耳其情感分析的影响
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Tanel Temel
中科院分区：
文献类型：
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作者：
Ezgi Yildirim;F. Çetin;Gülşen Eryiğit;Tanel Temel
对英文文本的情感分析是一个非常热门且被充分研究的课题。另一方面，针对形态丰富的语言在这一领域的研究仍处于起步阶段。土耳其语是一种黏着语，具有非常丰富的形态结构。本文首次在文献中研究并报告了自然语言预处理层对土耳其社交媒体文本情感分析的影响。实验表明，情感分析性能可能会提高近5个百分点，在所使用的数据集上成功率达到78.83%。
Sentiment analysis on English texts is a highly popular and well-studied topic. On the other hand, the research in this field for morphologically rich languages is still in its infancy. Turkish is an agglutinative language with a very rich morphological structure. For the first time in the literature, this paper investigates and reports the impact of the natural language preprocessing layers on the sentiment analysis of Turkish social media texts. The experiments show that the sentiment analysis performance may be improved by nearly 5 percentage points yielding a success ratio of 78.83% on the used data set.