paper-with-me

홈 › Papers

Leveraging Social Media Analytics for Sustainability Trend Detection in Saudi Arabias Evolving Market

2025-04-22 · Kanwal Aalijah

Saudi Arabias rapid economic growth and social evolution under Vision 2030 present a unique opportunity to track emerging trends in real time. Uncovering trends in real time can open up new avenues for business and investment opportunities. This paper explores how AI and social media analytics can uncover and monitor these trends across sectors like sustainability, construction, food beverages industry, tourism, technology, and entertainment. This paper focus on use of AI-driven methodology to identify sustainability trends across Saudi Arabia. We processed millions of social media posts, news, blogs in order to understand sustainability trends in the region. The paper presents an AI approach that can help economists, businesses, government to understand sustainability trends and make better decisions around them. This approach offers both sector-specific and cross-sector insights, giving decision-makers a reliable, up to date snapshot of Saudi Arabias market shifts. Beyond Saudi Arabia, this framework also shows potential for adapting to other regions. Overall, our findings highlight how by using AI-methodologies, give decision makers a reliable method to understand how initiatives are perceived and adopted by the public and understand growth of trends.

📄 PDF Abstract BibTeX arXiv:2504.16153

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

Focus 설명 없음

Similar Papers 제목 키워드 기반

Utilizing Social Media Analytics to Detect Trends in Saudi Arabias Evolving Market

2025-02-24 · Kanwal Aalijah

Saudi Arabia faced a swift economic growth and societal transformation under Vision 2030. This offers a unique opportunity to track emerging trends in the region, which will ultimately pave the way for new business and i…

Analyzing Sustainability Messaging in Large-Scale Corporate Social Media

2025-11-03 · Ujjwal Sharma, Stevan Rudinac, Ana Mićković, Willemijn van Dolen 외 arxiv

In this work, we introduce a multimodal analysis pipeline that leverages large foundation models in vision and language to analyze corporate social media content, with a focus on sustainability-related communication. Add…

Alexandria: Extensible Framework for Rapid Exploration of Social Media

2015-07-23 · Heath Fenno F. III, Hull Richard, Khabiri Elham, Riemer Matthew 외

The Alexandria system under development at IBM Research provides an extensible framework and platform for supporting a variety of big-data analytics and visualizations. The system is currently focused on enabling rapid e…

Emotional Analysis of Fashion Trends Using Social Media and AI: Sentiment Analysis on Twitter for Fashion Trend Forecasting

2025-04-30 · Aayam Bansal, Agneya Tharun

This study explores the intersection of fashion trends and social media sentiment through computational analysis of Twitter data using the T4SA (Twitter for Sentiment Analysis) dataset. By applying natural language proce…

Sentiment AnalysisSentiment Classification

Earthquake Impact Analysis Based on Text Mining and Social Media Analytics

2022-12-12 · Zhe Zheng, Hong-Zheng Shi, Yu-Cheng Zhou, Xin-Zheng Lu 외

Earthquakes have a deep impact on wide areas, and emergency rescue operations may benefit from social media information about the scope and extent of the disaster. Therefore, this work presents a text miningbased approac…

Decision MakingManagementtext-classificationText Classification