自然语言处理中语用分析的一个例子:电影评论的情感分析

C. S. Sütçü, Çigdem Aytekin
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引用次数: 2

摘要

自然语言处理(NLP)研究是人工智能最令人兴奋的应用之一,可以预见,NLP将在人机交互方面引起新的革命性的变化。在这方面,我们从音系分析、词法分析、句法分析、语义分析和语用分析五个不同的部分来分析NLP。本文将使用beyazperde.com上用户留下的电影评论进行情感分析。情感分析允许从文本数据中自动得出关于情绪的结论。因此,对一部电影留下的众多评论可以被分类为积极或消极的情绪,而不需要逐一阅读。根据观众的心情自动分类评论的功能,对于那些考虑观看该电影的人、演员、制片人和广告商来说是无价的。这种应用为媒体公司提供了新的和可改进的机会来制定有效的战略。在这方面,可以分析观众的期望,这些信息可以用于即将到来的节目项目。通信和信息技术的重要性是不可否认的。可以预见,本文将有助于生产的信息处理在土耳其。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN EXAMPLE OF PRAGMATIC ANALYSIS IN NATURAL LANGUAGE PROCESSING: SENTIMENTAL ANALYSIS OF MOVIE REVIEWS
Natural Language Processing (NLP) studies are one of the most exciting applications of artificial intelligence and it is foreseen that NLP will cause new and revolutionist changes in human-computer interaction. In this aspect, NLP is analyzed in five different segments: Phonology, Morphology, Syntax, Semantics, Pragmatics Analysis. In this paper, a sentimental analysis will be conducted using movie reviews left by users on beyazperde.com. The sentimental analysis allows to automatically draw conclusions about the mood from text data. Thus, numerous reviews left on a movie can be sorted as a positive or negative mood without the need of reading all of them one by one. The ability to sort the reviews automatically according to their mood is invaluable to those who are considering watching the said movie, actors\actresses, producers and advertisers. Such application arms media companies with new and improvable opportunities to create effective strategies. In this aspect, viewer expectations can be analyzed, and this information can be utilized for the upcoming program projects. Importance of communications and information technologies is undeniable. It is foreseen that this paper will aid the production of information processing in Turkish.
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