Robotics & Machine Learning Daily News2024,Issue(Jun.11) :103-103.

New Study Findings from Kingston University Illuminate Research in Intelligent S ystems (A sentiment analysis approach for understanding users’ perception of met averse marketplace)

金斯顿大学的新研究结果阐明了智能系统的研究(一种理解用户对MET厌恶市场感知的情感分析方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :103-103.

New Study Findings from Kingston University Illuminate Research in Intelligent S ystems (A sentiment analysis approach for understanding users’ perception of met averse marketplace)

金斯顿大学的新研究结果阐明了智能系统的研究(一种理解用户对MET厌恶市场感知的情感分析方法)

扫码查看

摘要

Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-调查人员在Telligent Systems中发布了新的报道。根据sRx新编辑在金斯敦大学的新闻报道,研究表明:“这项研究通过情感分析和主题建模技术,分析了超过860000条Twitter帖子的大量数据集,探讨了用户对元宇宙市场的感知。该研究旨在揭示在这个新颖的数字交易空间中,用户参与度和情感背后的驱动因素。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on in telligent systems. According to news reporting out of Kingston University by New sRx editors, research stated, “This research explores the user perceptions of th e Metaverse Marketplace, analyzing a substantial dataset of over 860,000 Twitter posts through sentiment analysis and topic modeling techniques. The study aims to uncover the driving factors behind user engagement and sentiment in this novel digital trading space.”

Key words

Kingston University/Intelligent Systems/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文