CiteOpinion: Evidence-based Evaluation Tool for Academic Contributions of Research Papers Based on Citing Sentences

Abstract

Purpose To uncover the evaluation information on the academic contribution of research papers cited by peers based on the content cited by citing papers, and to provide an evidence-based tool for evaluating the academic value of cited papers. Design/methodology/approach CiteOpinion uses a deep learning model to automatically extract citing sentences from representative citing papers; it starts with an analysis on the citing sentences, then it identifies major academic contribution points of the cited paper, positive/negative evaluations from citing authors and the changes in the subjects of subsequent citing authors by means of Recognizing Categories of Moves (problems, methods, conclusions, etc.), and sentiment analysis and topic clustering. Findings Citing sentences in a citing paper contain substantial evidences useful for academic evaluation. They can also be used to objectively and authentically reveal the nature and degree of contribution of the cited paper reflected by citation, beyond simple citation statistics. Practical implications The evidence-based evaluation tool CiteOpinion can provide an objective and in-depth academic value evaluation basis for the representative papers of scientific researchers, research teams, and institutions. Originality/value No other similar practical tool is found in papers retrieved. Research limitations There are difficulties in acquiring full text of citing papers. There is a need to refine the calculation based on the sentiment scores of citing sentences. Currently, the tool is only used for academic contribution evaluation, while its value in policy studies, technical application, and promotion of science is not yet tested.

Intelligent Assessment of Mental Health Based on Multisource Information Fusion

“…Figure 12 shows the attribute similarity distribution map and corresponding parallel coordinates drawn from the somatization symptoms of SCL-90. The three symptoms with high correlation also belong to the same questionnaire SCL-90, and the three symptoms with the lowest correlation belong to the distribution of similarity of different attributes of UPI [ 19 ]. According to users, in multisource questionnaires, such as UPI and SCL-90, different symptoms of the same questionnaire had a strong correlation, but different symptoms of different questionnaires had strong correlation, and the correlation was weak; different questionnaires have a high correlation with the design of the same symptom; in UPI and SCL-90, somatic symptoms had the lowest correlation with other symptoms; the results of the correlation analysis of the multisource questionnaire are similar to the actual situation.…”

Individualized Assessment and Therapeutic Intervention for Mental Health of American Postmodern Novelists

“…Medical institutions have successively set up music therapy intervention rooms and have begun enthusiastic exploration of music therapy interventions [ 6 ]. The Music Therapy Intervention Society, which regularly holds national music therapy intervention academic conferences, was established, which has contributed to the exchange and development of music therapy intervention scholars [ 7 ]. Taiwanese music therapy interventionist returned from the USA for the first time as a music therapy interventionist at the Taipei Xinai American Postmodernist Novel Creator Development Center and brought systematic and scientific music therapy intervention to Taiwan for the first time [ 8 ].…”

Introduction to the Second Edition

“…Исследователи теорий цитирования давно хотели понять различные функции и значения конкретных ссылок, но были ограничены в своих исследованиях небольшими выборками, собранными вручную. Наличие контекста ссылок в окружающем тексте открыло возможности для систематического анализа индивидуальных ссылок [Le, Chug, Deng, Jiao, et al, 2019]. Очевидно, что не все ссылки имеют одинаковый вес, но и разнообразие типов цитирования не отменяет взгляд Мертона на цитирование как в большинстве случаев признание одним ученым интеллектуального долга перед другим ученым (исследования, проведенные на сегодняшний день, показывают, что большинство цитирований имеют нейтральный или позитивный тон, и лишь некоторые -явно негативные).…”

“…Citation theorists have long wanted to understand the various functions and meanings of specific citations but have been limited in their studies by small, manually gathered samples. Having the context of a citance in the surrounding text has opened the door to systematic analysis of the content and sentiment of individual cited references [Le, Chug, Deng, Jiao, et al, 2019]. Plainly, not all citations carry the same weight but neither does the variety of citation types invalidate the Mertonian view of citing as, in the majority, acknowledgement from one scholar to another of an intellectual debt (studies to date reveal that most citations are neutral or positive in tone, and few are explicitly negative).…”