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[目的 /意义]Altmetrics通过API跟踪和分析学术文献的网络活动,根据影响力分值评价学术成果的影响力。然而,其评价学术影响力不考察读者态度极性,仅提供简单的公众关注度信息,不能直接体现学术成果的质量。为此研究altmetrics评价学术质量的可行性方案。[方法/过程]将情感分析与altmetrics相结合,并以新闻媒体、社交网站、文献数据库、学术论坛的提及、评论、引用、讨论指标为例,探讨altmetrics量化指标与情感分析相结合的理论框架。[结果 /结论]构建基于情感分析的altmetrics加权综合运算模型,该模型虽有情感分析技术实现难度较大、计算过程复杂且缺乏实证研究的不足,但作为评价学术质量的一种尝试,值得探讨。
[Purpose / Significance] Altmetrics tracks and analyzes academic literature online activity through APIs and assesses the impact of academic achievement based on scores of influence. However, its evaluation of academic influence does not examine the polarity of readers’ attitudes, but provides simple information on public awareness and can not directly reflect the quality of academic achievements. For this study altmetrics evaluate the academic quality of the feasibility of the program. [Methods / Procedures] Combining sentiment analysis with altmetrics and using the references of the news media, social networking sites, document databases, academic forums, reviews, references and discussion indicators as examples to explore the combination of altmetrics quantitative indicators and sentiment analysis frame. [Results / Conclusion] The altmetrics weighted comprehensive computing model based on sentiment analysis is constructed. Although the sentiment analysis technology is difficult to implement, the calculation process is complicated and lack of empirical research, this model is worth exploring as an attempt to evaluate the academic quality .