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Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin
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82 |
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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84 |
Analysis of the relationship between Saudi twitter posts and the Saudi stock market
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85 |
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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87 |
Using Multi-granular Fuzzy Linguistic Modelling Methods to Represent Social Networks Related Information in an Organized Way
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88 |
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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90 |
Predicting Students’ College Drop Out and Departure Decisions by Analyzing their Campus-Based Social Network Text Messages
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Abstract:
Undergraduate student retention is a key concern in the US higher education system. Having a scientific method for predicting undergraduate student departure would enable institutions to deploy targeted interventions with the goal of retaining a particular student who is at risk of dropping out. We explore the use of Latent Dirichlet Allocation (LDA), Systemic Functional Linguistics (SFL), and new techniques for Social Network Analytics addressing student communications within a novel campus-based closed social networking platform. Our research results indicate that students who were ultimately retained sent three times as many messages than those who were not, and analyzing the patterns of use of the closed social network in an academic setting reliably predicts undergraduate student dropouts and leads to a more effective deployment of retention resources over time.
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Keyword:
Analyzing the Impact of Digitization on Business Operations; sentiment analysis; social networks; universities
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URL: https://doi.org/10.24251/HICSS.2020.645 http://hdl.handle.net/10125/64387
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91 |
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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95 |
Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets
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96 |
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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97 |
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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99 |
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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