CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming

01/17/2023
by   Junjie H. Xu, et al.
2

Billions of live-streaming viewers share their opinions on scenes they are watching in real-time and interact with the event, commentators as well as other viewers via text comments. Thus, there is necessary to explore viewers' comments with scenes in E-sport live-streaming events. In this paper, we developed CS-lol, a new large-scale dataset containing comments from viewers paired with descriptions of game scenes in E-sports live-streaming. Moreover, we propose a task, namely viewer comment retrieval, to retrieve the viewer comments for the scene of the live-streaming event. Results on a series of baseline retrieval methods derived from typical IR evaluation methods show our task as a challenging task. Finally, we release CS-lol and baseline implementation to the research community as a resource.

READ FULL TEXT

page 1

page 2

research
08/18/2021

Promoting Mental Well-Being for Audiences in a Live-Streaming Game by Highlight-Based Bullet Comments

This paper proposes a method for generating bullet comments for live-str...
research
04/07/2023

StoryChat: Designing a Narrative-Based Viewer Participation Tool for Live Streaming Chatrooms

Live streaming platforms and existing viewer participation tools enable ...
research
04/25/2023

OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification

Illegal live-streaming identification, which aims to help live-streaming...
research
08/14/2020

Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport

With the rapid prevalence and explosive development of MOBA esports (Mul...
research
09/13/2018

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

We introduce the task of automatic live commenting. Live commenting, whi...
research
06/04/2020

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

Live video commenting systems are an emerging feature of online video si...
research
06/18/2021

Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events

Nowadays, live video streaming events have become a mainstay in viewer's...

Please sign up or login with your details

Forgot password? Click here to reset