基于文本挖掘的学术论文发表影响因素研究——以应用语言学期刊System为例
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H313.1

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苏州大学第二十六批大学生课外学术科研基金重点项目(KY2024025A)


A Study of the Influencing Factors of Research Articles’ Publication Rate Based on Text Mining——Take the Journal System of Applied Linguistics as an Example
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    摘要:

    以应用语言学领域代表性期刊 System 24年间的研究性论文为语料来源,使用自然语言处理中的词性标注与情感分析技术,研究24年间在学术论文中出现的一般形容词、一般副词、情感形容词、情感副词、积极情感形容词、积极情感副词的历时变化,探讨这6类词与文本可读性之间的相关性。研究结果证实了学术论文中的“语言积极性倾向”以及形容词、副词与可读性的负相关关系,发现情感形容词、积极情感形容词对形容词的历时变化无显著的预测作用,情感副词、积极情感副词对副词的历时变化有显著的预测作用。研究结果对提高学术论文可读性、助力学术论文写作与发表具有一定的参考和启发价值。

    Abstract:

    Based on the data of the research articles on System (a representative journal of applied linguistics) during 24 years, the study focuses on the diachronic development of six types of words, i.e., general adjectives, general adverbs, emotional adjectives, emotional adverbs, positive adjectives, and positive adverbs, exploring the correlation between the six types of vocabulary and text readability with the natural language processing research method of POS tagging and sentiment analysis. The findings are as follows: 1) Linguistic positivity bias is verified in this study; 2) there is a negative correlation between adjectives, adverbs and text readability; 3) emotional adjectives and positive adjectives fail to significantly predict the diachronic development of adjectives, while emotional adverbs and positive adverbs can significantly predict the diachronic development of adverbs. The study is of reference value for improving the readability of academic papers and academic writing and publishing.

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汤慧桃,王军.基于文本挖掘的学术论文发表影响因素研究——以应用语言学期刊System为例[J].上海理工大学学报(社科版),2026,48(3):219-229.

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  • 收稿日期:2024-04-26
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  • 在线发布日期: 2026-09-03
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