Results 31 to 40 of about 43,662 (265)
Methods for aggregating investor sentiment from social media
Humanities & Social Sciences CommunicationsSocial media-based investor sentiment proxies provide a brand new solution to recognize and measure investor sentiment. Aggregating individual social media text sentiments into public sentiments through a specific aggregation method is a necessary part ...
Qing Liu, Hosung Son
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Review of Social Media Sentiment and Contextual Bandit Models in Stock Market Investment [PDF]
ITM Web of ConferencesIn recent years, social media has become an important channel for investors to obtain market information, and investors are increasingly concerned about how emotional signals obtained from social media affect the stock market. With the profound impact of
Miao Ruicheng
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FEBS Open Bio, EarlyView.Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
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BarekengThis study adopts a systematic literature review to analyze social media sentiment towards specific commodities to enhance the accuracy of price movement forecasts in commodity markets. Drawing from the field of applied mathematics, the research gathered
Mariono Mariono +3 more
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Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
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Social Media + Society, 2018 Sentiment analysis is an increasingly popular instrument for the analysis of social media discourse. Sentiment scores seemingly represent an objective means of assessing the mood of social media users, consumers, and the public at large. Similar to other
Cornelius Puschmann, Alison Powell
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Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Entity Profiling to Identify Actor Involvement in Topics of Social Media Content
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 The efficiency of using social media affected modern society's nature and communication; they are more interested in talking through social media than meeting in the real world.
Puji Winar Cahyo, Muhammad Habibi
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Synergy between stock prices and investor sentiment in social media
Borsa Istanbul Review, 2023 The underlying assumption of using investor sentiment to predict stock prices, stock market returns, and liquidity is that of synergy between stock prices and investor sentiment. However, this synergistic relationship has received little attention in the
Qing Liu +3 more
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Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
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