Abstract:

Purposes To reveal the authors’ emotional perception and focus on academic journals， and provide empirical support for academic journals to improve the authors’ submission experience， enhance the author’s willingness， and optimize the brand and social reputation. Methods Using the SnowNLP emotion analysis model， we conducted sentiment analysis on 854 online comments regarding CSSCI source journals in a certain discipline from eshukan. Subsequently， we manually coded the positive and negative sentiment comment texts using Nvivo software. Findings The study found that the authors’ experience of submitting manuscripts in academic journals was dominated by negative emotions. The authors not only focused on the generally accepted peer review cycle and quality， but also paid high attention to the speed， quality and standardization of manuscripts processing by the editorial department， the collection of manuscripts fees， and the support of young talents. Conclusions Based on the grounded theory analysis of positive and negative comment text， it is proposed that in terms of manuscript processing， Chinese academic journals should pay attention to the timeliness of the notification of the results of manuscript use， and avoid the “management vacuum” state of the manuscript processing cycle in the review stage； In terms of supporting young talents， we should not simply evaluate articles based on professional titles， but actively establish columns for young scholars； In terms of fee collection， disclose various charging standards in advance and adjust the charging time point； In terms of establishing a good reputation， it is important to pay attention to communication with authors， handle special manuscripts carefully， avoid the rapid spread of bad reputation caused by improper handling； By constantly optimizing the author’s submission experience， accumulating the author’s positive emotional perceptions of the journal， and shaping a good brand image of the journal.

Key words: Author experience, Author services, Academic journals, Comment text, Semantic network, Emotional analysis

摘要：

目的 揭示作者对学术期刊的情感感知状况与关注焦点，为学术期刊改善作者投稿体验、提升作者投稿意愿、优化品牌与社会美誉度提供实证支持。 方法 利用SnowNLP情感分析模型对万维书刊网某学科CSSCI来源期刊的854条网络评论内容进行情感分析，并借助Nvivo软件对正向与负向情感评论文本进行人工编码。 结果 学术期刊作者的投稿体验以负向情感居多，作者关注的不仅仅是普遍认同的同行评议周期和质量，还高度关注编辑部对稿件处理的速度、质量和规范，稿件费用收取，青年人才支持力度等方面。 结论 基于评论文本的扎根分析结果建议，在稿件处理上，需重视用稿结果告知的及时性，避免复审阶段稿件处理周期“管理真空”状态；在青年人才支持上，不简单地以职称评文，开设青年学者专栏；在费用收取上，提前公开各类费用收取规范，合理安排收取时间节点；在口碑建立上，谨慎处理特殊稿件，避免不当处理导致不良口碑的迅速扩散；通过优化作者的投稿体验，累积作者的积极情感感知，塑造期刊的良好品牌形象。

关键词: 作者体验, 作者服务, 学术期刊, 评论文本, 语义网络, 情感分析