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Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak
Forecasting the stock market is one of the most difficult undertakings in the financial industry due to its complex, volatile, noisy, and...
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Leveraging MRC Framework for Research Contribution Patterns Identification in Citation Sentences
Research contributions convey the essence of academic papers, highlighting their novel knowledge and understanding compared to prior research. In...
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Design of a Prototypic Mental Health Ontology for Sentiment Analysis of Tweets
Ontologies show great promise in addressing many of the issues of component-based research, and they are a strong example of technology-supported...
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Citation Network, Knowledge and Evaluation: The Role of Reporting Markers in Citation Content Analysis
Linguistic features play an important role in the transition from traditional citation analysis to citation content analysis (CCA). In this paper, a...
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SDCF: semi-automatically structured dataset of citation functions
There is increasing research interest in the automatic detection of citation functions, which is why authors of academic papers cite previous works....
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Towards employing native information in citation function classification
Citations play a fundamental role in supporting authors’ contribution claims throughout a scientific paper. Labelling citation instances with...
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Research on semantic representation and citation recommendation of scientific papers with multiple semantics fusion
With the growth in scientific papers, citation recommendation which enables researchers to find useful references efficiently and further to promote...
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Intelligent sentinet-based lexicon for context-aware sentiment analysis: optimized neural network for sentiment classification on social media
In the modern era, lack of adequate training data requires lexicon-based models. The lexicon scoring model was extensively deployed as an effective...
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Machine Learning or Lexicon Based Sentiment Analysis Techniques on Social Media Posts
Social media provides an accessible and effective platform for individuals to offer thoughts and opinions across a wide range of interest areas. It...
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A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis
The present study aimed to explore how tweeters’ opinions about open access publishing and its main features evolved over time. Using a quantitative...
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Sentiment Analysis
We've already demonstrated how to train a character-level RNN to create original text. Now, we create a word-level RNN to analyze sentiment.
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Evaluating scientific impact of publications: combining citation polarity and purpose
Citation counts are commonly used to evaluate the scientific impact of a publication on the general premise that more citations probably mean more...
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Additional evidence on gender and language in academic economics research
Previous research, in economics as well as in other disciplines, has found that male- and female- authored academic articles tend to exhibit...
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Citation contexts as a data source for evaluation of scholarly consumption
In recent years, large datasets of citation contexts from research publications have become available for scientometric studies. Such citation...
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Exploring the characteristics of special issues: distribution, topicality, and citation impact
Special issues are a unique mode of scholarly communication designed to highlight essential or emerging research themes through high-quality...
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Sentiment classification via user and product interactive modeling
Sentiment classification aims to identify the polarity of a given review. Most existing methods consider each review as an individual while ignoring...
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Topic adaptive sentiment classification based community detection for social influential gauging in online social networks
Online Social Networks (OSNs) such as Twitter, Facebook, Instagram, and WhatsApp are turned as a place for many of people in recent years to spend...
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Usage, content and citation in open access publication: any interaction effects?
This study aims to validate an empirical model, at document level, that explains the interaction among content, usage, and citation within...
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A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature
Sentiment analysis is an increasingly evolving field of research in computer science. With the considerable number of studies on innovative sentiment...
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SentCite: a sentence-level citation recommender based on the salient similarity among multiple segments
Efficiently making adequate citations is becoming more challenging due to the rapidly increasing volume of publications. In practice, citing the...
