Khunsa Usmani
FAST
· 2025
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21I-0091
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CGPA
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Year
2025
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Career
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Skills
machine learning, sentiment analysis, topic modeling
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
HOW CUSTOMER ATTENTION SPAN RESPONDS TO SHORT MARKETING STRATEGIES IN COMPARISON TO TRADITIONAL MARKETING STRATEGIES IN TODAY'S TIME. Digital Platforms like Instagram & TikTok, marketing content on such platforms has become a key strategy for engaging customers. However, this shift raises concerns about the impact on consumer attention span and their behavior. The study explores how short marketing affects consumer attention comparable to traditional marketing strategies. The research focus on key areas like; Attention span trends, engagement patterns, marketing strategies and physiological impact. With the help of machine learning techniques which include sentiment analysis and topic modeling, this study examines consumer reactions to short marketing content on social media platforms. The findings aim to help marketers and businesses to develop effective strategies for capturing and maintaining consumer attention in an era of fast-paced digital content. Keywords: consumer attention, attention span, digital engagement, short marketing. Under the supervision of Sir Hammad Majeed Area of Study: Marketing Supervisor Name: Mr. Hammad Majeed Group Members: Khunsa Usmani (21I-0091) Haniaa Khan (21I-0069) Rimal Amir(21I-0049) Uswa Ahmad (21I-00110) FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Khunsa Usmani is a student at FAST NUCES Islamabad studying Marketing, currently engaged in a group research project on the impact of short marketing strategies on consumer attention spans. The project utilizes machine learning techniques like sentiment analysis and topic modeling to analyze consumer reactions to digital content on platforms such as Instagram and TikTok.
Skills (AI)
["Marketing Research", "Sentiment Analysis", "Topic Modeling", "Machine Learning", "Consumer Behavior Analysis", "Digital Marketing"]
Status: ai_done
Provenance
Source file: FAST School of Management - Graduate Directory 2025.pdfFrom job #19 page 68
Created: 1778118645