Analysis of User Behavior in the New Media Era

Rongzeng Hou

2023

Abstract

With the rapid development of artificial intelligence in recent years, especially the rapid emergence of large natural language processing models represented by ChatGPT since March, people are increasingly aware of the importance of data to human society. Conclusions derived from data analysis have become an indispensable source of decision-making in academia and business. Bilibili, affectionately known as "Station B" by fans, is a leading youth culture community in China. The B station features a live comment function suspended above the video, which enthusiasts call "barrage". This paper uses Bayesian algorithm to analyze the sentiment of comments on a video on Bilibili website. Firstly, we collected a large amount of comment data and preprocessed it, including word segmentation and removal of stop words. We then used the naive Bayes algorithm to categorize each comment by emotion, including positive, negative, and neutral. Finally, we evaluated the classification results and came up with our sentiment analysis results.

Paper Citation

in Harvard Style

Hou R. (2023). Analysis of User Behavior in the New Media Era. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 509-514. DOI: 10.5220/0012286700003807

in Bibtex Style

@conference{anit23,
author={Rongzeng Hou},
title={Analysis of User Behavior in the New Media Era},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={509-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012286700003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Analysis of User Behavior in the New Media Era
SN - 978-989-758-677-4
AU - Hou R.
PY - 2023
SP - 509
EP - 514
DO - 10.5220/0012286700003807
PB - SciTePress