Cluster and Sentiment Analyses of YouTube Textual Feedback of Programming Language Learners to Enhance Learning in Programming

Bringula, Rex P.; Victorino, John Noel; Leon, Marlene M. De; Estuar, Ma. Regina E.

doi:10.1007/978-3-030-32523-7_67

Cited by 7 publications

(10 citation statements)

References 12 publications

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“…Researchers applied different discourse and sentiment analysis tools to understand various aspects. These include investigating the use of YouTube as a selfdirected or informal learning platform [28], [102], understanding students' responses to content presentation [103], or whether commenting in itself can enhance learning [104].…”

Section: A Methods Used In the Research On Youtube's Strategies And B...mentioning

confidence: 99%

YouTube and Education: A Scoping Review

Shoufan

Mohamed

2022

IEEE Access

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YouTube has evolved to a global platform for formal and informal education. In contrast to traditional sources of learning multimedia, YouTube is a social platform with numerous characteristics that make its real value for education not obvious. We neither know how reliable the learning content on YouTube is, what best-practice strategies for using this platform in education are nor how watching YouTube affects students' performance and behavior. To shed light on these questions, we conducted a scoping review of the literature on YouTube and education. A total of 647 publications were included and analyzed thematically. Four research themes could be identified: (1) Content creation and assessment (2) User attitudes and acceptance (3) Usage strategies and behaviors (4) Impact on student learning. The findings of the respective studies were analyzed and compiled theme by theme. The main results of this review are: (1) There is an increasing concern about content quality on YouTube. (2) Despite versatile production and usage strategies, no relationships were established between such strategies and learning.(3) Most studies on the impact of YouTube on student learning reported positive results in the form of enhanced skills, competencies, interest, motivation, engagement levels, or test performance. We conclude that YouTube is a rich, free, easy-to-use, and enjoyable source of learning content. However, the challenges and risks associated with this platform suggest that it is best suitable for guided learning where teachers make or select the content and include it in a well-defined, pedagogy-driven learning context.

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Section: A Methods Used In the Research On Youtube's Strategies And B...mentioning

confidence: 99%

YouTube and Education: A Scoping Review

Shoufan

Mohamed

2022

IEEE Access

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“…LDA was previously used for analyzing personality traits of social media user (Liu, Wang, & Jiang, 2016), identifying and summarization of topics on large collection of documents (Blei, 2012;Rosen-Zvi et al, 2004), classifying key themes from comments on video tutorials (Miranda and Martin, 2020), and extraction of linguistic metaphor (Heintz et al, 2013). While several studies have used sentiment analysis for analyzing important topics on political issues (Stieglitz and Dang, 2012), understanding politicians' behavior towards social media discourse (DiGrazia et al, 2013), examining public mood towards events (Bollen et al, 2011), and determining the sentiments of YouTube learners through their feedback (Miranda & Martin, 2020;Bringula et al, 2019).…”

Section: Background Of Datasetmentioning

confidence: 99%

Dataset of Philippine Presidents’ Speeches from 1935 to 2016

Miranda

2022

IJCSR

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Purpose–The dataset was collected to examine and identify possible key topicswithin these texts. Method–Data preparation such as data cleaning, transformation, tokenization, removal of stop wordsfrom both English and Filipino, and word stemmingwas employed in the datasetbefore feeding it to sentiment analysis and the LDA model.Results–The topmost occurring word within the dataset is "development" and there are three (3) likely topics from the speeches of Philippine presidents: economic development, enhancement of public services, and addressing challenges.Conclusion–The datasetwas ableto provide valuable insights contained among official documents. While the study showedthatpresidentshave used their annual address to express their visions for the country. It alsopresentedthat the presidents from 1935 to 2016 faced the same problems during their term.Recommendations–Future researchers may collect other speeches made by presidents during their term;combine them to the dataset used in this studyto furtherinvestigate these important textsby subjecting them to the same methodology used in this study.The dataset may be requested from the authors and it is recommended for further analysis. For example, determine how the speeches of the president reflect the preamble or foundations of the Philippine constitution.

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“…Other studies on sentiment analysis include: measuring the impact of the presidential candidate pronouncement (Le et al, 2017); determining which presidential candidate is favored based on widely discussed topics (Hamling & Agrawal, 2017); investigating the candidate's political behavior based on social media content (DiGrazia et al, 2013); outlining the process for summarizing the important political issues (Stieglitz & Dang-Xuan, 2013); comparing the significant relationships of public mood levels and major events (i.e., social, political, cultural, and economic) (Bollen et al, 2011); understanding the politicians' discourse toward local gun policy using news articles (M'Bareck, 2019); detecting fears on texts (e. g., speeches and documents) from different political, economic, and humanitarian leaders (Hogenraad, 2019); and gaining insights from the tone used by the presidents of the United States of America in their addresses (Rydeen, 2018). Several studies suggested that sentiment analysis can be used to classify phenomenon in text data (Bringula et al, 2019;B. Liu, 2012;Miranda & Martin, 2020;Rahab et al, 2019;Ye et al, 2017).…”

Section: Analyses Of President's Speechesmentioning

confidence: 99%

“…Villadsen (2016)emphasized that topic modeling analysis is a good technique for exploring new insights from presidents' speeches. Other studies utilized LDA in multiple contexts such as eliciting key insights and relevant topics (Villadsen, 2016;Zirn & Stuckenschmidt, 2014), finding the associated events and key themes from e-petitions (Hagen, 2018), analyzing opinions toward video tutorials (Bringula et al, 2019;Miranda & Martin, 2020), revealing interesting information from consumer complaints (Bastani et al, 2019), and obtaining forensic details on criminal activity and their methods from public forum (Porter, 2018).…”

Section: Topic Modelingmentioning

confidence: 99%

Exploring Philippine Presidents’ speeches: A sentiment analysis and topic modeling approach

Miranda

Bringula

2021

Cogent Social Sciences

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This study analyzed the annual obligatory and traditional speeches, referred to as State of the Nation Address (SONA), of the 13 past Philippine presidents. The study determined the sentiments, as well as the emergent topics, expressed in these materials. It is found that these SONAs generally expressed positive sentiments while the lowest negative sentiment, on the other hand, was during the martial law period in 1974. Also, it is shown that "development" is the most frequently appeared word among these speeches. The study also revealed that the sentiments of the incoming presidents were lower than that of the outgoing. Moreover, it is shown that these SONAs mainly focused on the following concerns of the country: (a) economic development; (b) enhancement of public services; and (c) addressing challenges. The results of the study translate into the importance of SONA as a venue to discuss and to engage with its people the nation's state and direction.

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Cluster and Sentiment Analyses of YouTube Textual Feedback of Programming Language Learners to Enhance Learning in Programming

Cited by 7 publications

References 12 publications

YouTube and Education: A Scoping Review

YouTube and Education: A Scoping Review

Dataset of Philippine Presidents’ Speeches from 1935 to 2016

Exploring Philippine Presidents’ speeches: A sentiment analysis and topic modeling approach

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