Analyzing User Comments on YouTube Coding Tutorial Videos-Reference-Cited by-同舟云学术

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Analyzing User Comments on YouTube Coding Tutorial Videos

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC)
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Author:

Poche Elizabeth,Jha Nishant,Williams Grant,Staten Jazmine,Vesper Miles,Mahmoud Anas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7959731/7961484/07961517.pdf?arnumber=7961517

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How self-disclosure builds cancer communities through authentic stories on YouTube: Mediating role of user participation in self-disclosure reciprocity;Computers in Human Behavior;2024-07

2. AQuA: Automated Question-Answering in Software Tutorial Videos with Visual Anchors;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Optimizing OCR Performance for Programming Videos: The Role of Image Super-Resolution and Large Language Models;Mathematics;2024-03-30

4. Optimizing YouTube Spam Detection with Ensemble Deep Learning Techniques;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

5. Code Quality Evaluation in IT Communities Based on Sentiment Analysis of User Comments;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22

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