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Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin
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MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian
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Sprugnoli, R. (orcid:0000-0001-6861-5595). - : Accademia University Press, 2020. : country:ITA, 2020. : place:Torino, 2020
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Techniques for improving the labelling process of sentiment analysis in the Saudi stock market
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Analysis of the relationship between Saudi twitter posts and the Saudi stock market
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Abstract:
Sentiment analysis has become the heart of social media research and many studies have been applied to obtain users' opinion in fields such as electronic commerce and trade, management and also regarding political figures. Social media has recently become a rich resource in mining user sentiments. Social opinion has been analysed using sentiment analysis and some studies show that sentiment analysis of news, documents, quarterly reports, and blogs can be used as part of trading strategies. In this paper, Twitter has been chosen as a platform for opinion mining in trading strategy with the Saudi stock market in order to carry out and illustrate the relationship between Saudi tweets (that is standard and Arabian Gulf dialects) and the Saudi market index. To the best of our knowledge, this is the first study performed on Saudi tweets and the Saudi stock market.
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Keyword:
data mining; Saudi Arabia; sentiment analysis; stock market prediction; text mining; Twitter
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URL: https://doi.org/10.1109/IntelCIS.2015.7397193 http://hdl.handle.net/10547/623854
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Identifying Mubasher software products through sentiment analysis of Arabic tweets
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86 |
Visualising Arabic sentiments and association rules in financial text
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Using Multi-granular Fuzzy Linguistic Modelling Methods to Represent Social Networks Related Information in an Organized Way
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Arabic-English Google Translation Evaluation and Arabic Sentiment Analysis
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89 |
English Studies and Literary Education in the Era of Media Manipulation: Context, Perceptions, Feelings and Challenges
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Predicting Students’ College Drop Out and Departure Decisions by Analyzing their Campus-Based Social Network Text Messages
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A Study on the Contributions of Domain-Specific Semantics Towards Aspect-Based Sentiment Analysis
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In: Master's Theses (2020)
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Sentiment Analysis of Textual Content in Social Networks. From Hand-Crafted to Deep Learning-Based Models
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In: TDX (Tesis Doctorals en Xarxa) (2020)
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This video is sponsored : text and sentiment analysis of YouTube health-related vlog comments and brand endorsement effectiveness
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Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets
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Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis
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In: Electronic Thesis and Dissertation Repository (2020)
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Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins
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98 |
Domain specific lexicon generation through sentiment analysis
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Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks
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A Twitter Political Corpus of the 2019 10N Spanish Election
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