A survey on sentiment analysis of scientific citations
Sentiment analysis of scientific citations has received much attention in recent years
because of the increased availability of scientific publications. Scholarly databases are …
because of the increased availability of scientific publications. Scholarly databases are …
[HTML][HTML] Scientific papers citation analysis using textual features and SMOTE resampling techniques
Ascertaining the impact of research is significant for the research community and academia
of all disciplines. The only prevalent measure associated with the quantification of research …
of all disciplines. The only prevalent measure associated with the quantification of research …
A bibliometric review of 35 years of studies about preeclampsia
R Akbari, S Hantoushzadeh, Z Panahi… - Frontiers in …, 2023 - frontiersin.org
The purpose of this study is to investigate preeclampsia. It used the visualization tools of
CiteSpace, VOSviewer, Gunnmap, Bibliometrix®, and Carrot2 to analyze 3,754 …
CiteSpace, VOSviewer, Gunnmap, Bibliometrix®, and Carrot2 to analyze 3,754 …
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets
Background Analysing public opinions on HPV vaccines on social media using machine
learning based approaches will help us understand the reasons behind the low vaccine …
learning based approaches will help us understand the reasons behind the low vaccine …
A content-based citation analysis study based on text categorization
Publications and citations are important components for measuring research performance.
Academics receive incentives, tenures, or awards from the number of citations they receive; …
Academics receive incentives, tenures, or awards from the number of citations they receive; …
Negative transfer detection in transductive transfer learning
Transfer learning method has been widely used in machine learning when training data is
limited. However, class noise accumulated during learning iterations can lead to negative …
limited. However, class noise accumulated during learning iterations can lead to negative …
Understanding the meanings of citations using sentiment, role, and citation function classifications
I Budi, Y Yaniasih - Scientometrics, 2023 - Springer
Traditional citation analyses use quantitative methods only, even though there is meaning in
the sentences containing citations within the text. This article analyzes three citation …
the sentences containing citations within the text. This article analyzes three citation …
[PDF][PDF] Biomedical text mining for research rigor and integrity: tasks, challenges, directions
H Kilicoglu - Briefings in bioinformatics, 2018 - academic.oup.com
An estimated quarter of a trillion US dollars is invested in the biomedical research enterprise
annually. There is growing alarm that a significant portion of this investment is wasted …
annually. There is growing alarm that a significant portion of this investment is wasted …
Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification
Automated citation analysis is a method of identifying sentiment and purpose of citations in
the citing works. Most of the existing approaches use machine learning techniques to boost …
the citing works. Most of the existing approaches use machine learning techniques to boost …
Citation context analysis using combined feature embedding and deep convolutional neural network model
Citation creates a link between citing and the cited author, and the frequency of citation has
been regarded as the basic element to measure the impact of research and knowledge …
been regarded as the basic element to measure the impact of research and knowledge …