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A STUDY OF SOCIAL FACTORS IN ACTIVITY-BASED ACTIVE LEARNING CLASSROOM CORRELATED TO STUDENTS’ PERFORMANCE
Title
A STUDY OF SOCIAL FACTORS IN ACTIVITY-BASED ACTIVE LEARNING CLASSROOM CORRELATED TO STUDENTS’ PERFORMANCE
Author
Ravikumar, Ranjith Kumar
Date Created
2017
Subjects--Topical
Education
Description
Social behaviors of students play a significant role in the classroom atmosphere and also the way it impacts students’ learning interests. In addition, socially acceptable behaviors are generally preferred by students in group-based classes. But o...
Customer Loyalty Improvement Recommender System (CLIRS)
Title
Customer Loyalty Improvement Recommender System (CLIRS)
Author
Tarnowska, Katarzyna
Date Created
2018
Subjects--Topical
Computer science
Description
This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
Emotion Mining From Text and Actionable Pattern Discovery
Title
Emotion Mining From Text and Actionable Pattern Discovery
Author
Ranganathan, Jaishree
Date Created
2020
Subjects--Topical
Computer science
Description
In the era of Web 2.0, people express their opinion, feelings and thoughts about topics including political and cultural events, natural disasters, products and services, through mediums such as blogs, forums, and micro-blogs, like Twitter. Also, ...
Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Title
Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Author
Frye, Robert
Date Created
2022
Subjects--Topical
Computer science
Description
Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Title
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author
Seyeditabari, Narjessadat
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence
Description
An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...
Quantifying Bias of the U.S. Media: A Spatial Analysis of Product Differentiation on Social Media
Title
Quantifying Bias of the U.S. Media: A Spatial Analysis of Product Differentiation on Social Media
Author
Williams, Emily
Date Created
2017
Subjects--Topical
Economics
Description
In this study, I create a measure of ideological bias as a means for U.S. news sources to differentiate their products in the growing digital space. In addition to traditional media platforms, such as newspapers and television broadcasts, I includ...
Recommender System for Improving Churn Rate
Title
Recommender System for Improving Churn Rate
Author
Duan, Yuehua
Date Created
2022
Subjects--Topical
Computer science
Description
Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...
Sentiment Analysis on Verbal Data from Team Discussions As an Indicator of Individual Performance
Title
Sentiment Analysis on Verbal Data from Team Discussions As an Indicator of Individual Performance
Author
Dehbozorgi, Nasrin
Date Created
2020
Subjects--Topical
Computer science, Education
Description
The inherently complex nature of evaluating teamwork calls for methods to measure and predict students’ performance and provide timely feedback. Analyzing students’ individual performance, particularly in low-stake teams, is a challenge since the ...