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Faria Khan

FAST · 2025 · i21-2609

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Phone

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GitHub

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Academic

Program

BS Artificial Intelligence

CGPA

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Year

2025

Education

FAST NUCES

Address

Islamabad

DOB

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Career

Current role

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Target role

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Skills

Aspect-Based Sentiment Analysis (ABSA), Explainable AI (XAI), Machine Learning (ML), Data-Driven Product Innovation

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.

Autonomous Sentiment and Feature Extraction from Online Reviews for 
Product Innovation in the Tech Industry: A Focus on Fintech Apps 
Fintech applications generate vast user feedback, yet traditional sentiment analysis fails to capture 
feature-specific insights. This research develops an Al-powered framework using Aspect-Based 
Sentiment Analysis (ABSA) and Explainable Al (XAI) to analyze fintech app reviews. By extracting 
granular sentiment trends on security, transaction efficiency, and user experience, we aim to 
provide real-time consumer intelligence that enables fintech firms to make data-driven product 
enhancements. Our study bridges the gap between Al-driven analytics and fintech decision-making, 
ensuring greater transparency, trust, and user-centric innovation. 
Key Words: Aspect-Based Sentiment Analysis (ASSA), Explainable Al (XAI), Machine Learning (ML), Fintech 
Consumer Insights, & Data-Driven Product Innovation. 
Area of Study: 
Artificial Intelligence (Al) & Machine Learning 
(ML) in Fintech 
Supervisor Name: 
Mr. Hammad Majeed 
Group Members: 
Ali Ahmed (i21-1407) 
Dania Malik (i21-1441) 
Faria Khan (i21-2609) 
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Faria Khan is a BS Artificial Intelligence student at FAST NUCES Islamabad who conducted research on Aspect-Based Sentiment Analysis and Explainable AI for fintech applications. The project focused on extracting feature-specific insights from user reviews to support data-driven product innovation.

Skills (AI)

["Aspect-Based Sentiment Analysis", "Explainable AI", "Machine Learning", "Data Analysis", "Fintech Analytics"]

Status: ai_done

Provenance

Source file: FAST School of Management - Graduate Directory 2025.pdf
From job #19 page 72
Created: 1778118645