在公民科学项目中通过情感和反讽对文本语料库进行注释

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
I. V. Paramonov, A. Y. Poletaev
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引用次数: 0

摘要

本文研究了由一般情感标注的四类(肯定、否定、中性和混合)句子语料库,由情感标注的三类(肯定、否定和中性)短语语料库,以及由有无反语标注的句子语料库的构建。注释是由志愿者在《科学人》网站上为算法准备文本项目中进行的。根据每个问题的主题领域的可用知识,编写了注释者的指导方针。在分析不同标注者标注的分布和一致性度量的基础上,提出了对标注结果进行统计处理的方法。对于反语注释句子和情感注释短语,一致性度量相当高(完全一致率为0.60-0.99),而对于一般情感注释句子,一致性度量很低(完全一致率为0.40),显然是由于问题的复杂性更高。研究还表明,与仅由一名志愿者注释的语料库相比,当使用所有注释者(3-5人)都同意的语料库时,句子情感分析自动算法的性能提高了12-13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Annotation of Text Corpora by Sentiment and Irony in a Project of Citizen Science

Annotation of Text Corpora by Sentiment and Irony in a Project of Citizen Science

This paper studies the construction of a corpus of sentences annotated by general sentiment into four classes (positive, negative, neutral, and mixed), a corpus of phrasemes annotated by sentiment into three classes (positive, negative, and neutral), and a corpus of sentences annotated by the presence or absence of irony. The annotation is conducted by volunteers within the project Preparing Texts for Algorithms on the People of Science website. Based on the available knowledge of the subject area for each of the problems, guidelines for the annotators are compiled. A methodology for the statistical processing of the annotation results is also developed based on analyzing the distributions and agreement measures of the annotations of different annotators. For annotating sentences by irony and phrasemes by sentiment, the agreement measures are quite high (the full agreement rate is 0.60–0.99), while for annotating sentences by general sentiment, the agreement is low (the full agreement rate is 0.40), apparently due to the higher complexity of the problem. It is also shown that the performance of automatic algorithms for sentence sentiment analysis improves by 12–13% when using a corpus on whose sentences all annotators (3–5 people) agree compared with a corpus annotated by only one volunteer.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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