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Understanding the meanings of citations using sentiment, role, and citation function classifications
Traditional citation analyses use quantitative methods only, even though there is meaning in the sentences containing citations within the text. This...
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Partial citation analysis of five classes of retracted papers, and devising a new four-tier citation classification system for retracted (and other) papers
As the number of retractions of the academic literature increase, there is also a bibliometric interest in appreciating the volume of citations that...
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Sentiment Analysis: Indian Languages Perspective
Sentiment is a feeling or opinion on the basis of perception of a particular person, product or situation. Process of sentiment analysis (SA)...
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Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research...
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Investigating the application of work–energy metaphor in interdisciplinary citation analysis
Metaphors play a crucial role in facilitating the comprehension and analysis of knowledge. “Knowledge as energy” is a well-established metaphorical...
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Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis
Citations are generally analyzed using only quantitative measures while excluding qualitative aspects such as sentiment and intent. However,...
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Multi-task learning model for citation intent classification in scientific publications
Citations play a significant role in the evaluation of scientific literature and researchers. Citation intent analysis is essential for academic...
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Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation
Today, The Nobel Prize for Literature is one of the most recognized and prestigious awards. Examining the texts of the authors who have received this...
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Sentiment Analysis
Sentiment or opinion analysis employs natural language processing to extract a significant pattern of knowledge from a large amount of textual data....
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Citation count prediction using weighted latent semantic analysis (wlsa) and three-layer-deep-learning paradigm: a meta-heuristic approach
Citation count prediction is a subfield of bibliometrics, which involves using mathematical and statistical models to predict the quantity of...
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Aspect Based Sentiment Analysis Using Long-Short Term Memory and Weighted N-Gram Graph-Cut
In the current domain, aspect-based sentiment analysis is a much-explored area in sentiment classification. In this paper, an optimization method,...
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How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities
Some science and technology policies promote collaboration between natural sciences (NS) and social sciences and humanities (SSH) on research topics...
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Contextualised segment-wise citation function classification
Much effort has been made in the past decades to citation function classification, but noteworthy issues exist. Annotation difficulty resulted in...
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Context-aware citation recommendation of scientific papers: comparative study, gaps and trends
With the exponential increase in the number of published articles, recommending them on the basis of the citation context (also called local or...
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Does citation polarity help evaluate the quality of academic papers?
Citation frequency is an important metric for the evaluation of academic papers, but it assumes that all citations are of equal value. The purpose of...
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Review on sentiment analysis for text classification techniques from 2010 to 2021
Progression in the popularity of social media activities had provided huge amount of data in the form of text that can immeasurably augment its...
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Sentiment Analysis Based on Pretrained Language Models: Recent Progress
Pre-trained Language Models (PLMs) can be applied to downstream tasks with only fine-tuning, eliminating the need to train the model from scratch. In...
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Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification
Aspect-level sentiment classification is a task within the realm of fine-grained sentiment analysis that focuses on identifying the sentiment...
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Combined sentiment score and star rating analysis of travel destination prediction based on user preference using morphological linear neural network model with correlated topic modelling approach
In the context of a globalized world where travel enthusiasts seek personalized recommendations for their favourite destinations, the study delves...
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How do tweeters feel about scientific misinformation: an infoveillance sentiment analysis of tweets on retraction notices and retracted papers
The traditional retraction mechanism's failure to eradicate the retracted papers' continued effects urges for more control and monitoring systems to...
