Results 11 to 20 of about 43,662 (265)
Stock price movement prediction based on Stocktwits investor sentiment using FinBERT and ensemble SVM [PDF]
PeerJ Computer Science, 2023 Investor sentiment plays a crucial role in the stock market, and in recent years, numerous studies have aimed to predict future stock prices by analyzing market sentiment obtained from social media or news.
Jin-Xian Liu +2 more
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SAGE Open, 2023 Using 34 products from China’s commodity futures market, this study examines the impact of social network attention and sentiment on its futures market returns.
Wenwen Liu +3 more
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Sentiment Analysis of Social Survey Data for Local City Councils
Journal of Sensor and Actuator Networks, 2022 Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques ...
Marianna Lepelaar +6 more
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Social robots, fiction, and sentimentality [PDF]
Ethics and Information Technology, 2015 I examine the nature of human-robot pet relations that appear to involve genuine affective responses on behalf of humans towards entities, such as robot pets, that, on the face of it, do not seem to be deserving of these responses. Such relations have often been thought to involve a certain degree of sentimentality, the morality of which has in turn ...
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Computer Assisted Methods in Engineering and Science, 2022 With ever-increasing demand, social media platforms are rapidly developing to enable users to express and share their opinions on a variety of topics. Twitter is one such social media site.
Sudarshan S. Sonawane, Satish R. Kolhe
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Sentiment and Preference Guided Social Recommendation [PDF]
, 2014 This research has been partially supported by AGAUR Scholarship (2013FI-B 00034) and Project Cognitio TIN2012-38450-C03 ...
Yoke Yie Chen +3 more
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Heliyon, 2022 Investor sentiment is an important factor that affects stock prices, stock market returns, and asset pricing. However, the fluctuation patterns and factors influencing investor sentiment have received less attention from scholars.
Qing Liu, Xinyuan Wang, Yamin Du
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Natural Language Processing for Sentiment Analysis in Socialmedia Techniques and Case Studies [PDF]
ITM Web of ConferencesSocial media platforms have become a significant medium for expressing opinions, emotions, and sentiments, making sentiment analysis a crucial task in Natural Language Processing (NLP).
Veluswamy Anusha Sowbarnika +5 more
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A Comprehensive Survey on Sentiment Analysis Techniques
International Journal of Technology, 2023 Sentiment analysis is a natural language processing (NLP) technique used to decide if the underlying sentiment is positive, negative, or neutral. Subjective information from the text can be extracted using sentiment analysis by recognizing its context
Farhan Aftab +6 more
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Sentiment Analysis for Arabic Social Media [PDF]
IJCI International Journal of Computers and Information, 2020 With the spread of social media services in Arabic societies, it leads to the explosive growth of Arabic posts, or comments. These services generate a huge volume of opinionated data on different topics such as politics and businesses. Analyzing valuable
manal zayed +2 more
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