Page 107 - tech fest 2025 ב״ש חוברת תקצירים

Research on Sentiment Analysis and Its Applications in Industry
IEM-C-01
Yarin Horev; yarin2062@gmail.com Emely Ben-Sadon; emely.bensadon@gmail.com
Advisor: Dr. Dima Alberg
SCE - Shamoon College of Engineering, Be’er-Sheva
In the digital age, consumers are flooded with information and reviews, making decision-making more complicated. Businesses face challenges in understanding customer motivations, particularly in customer service. The goal of this project is to develop a sentiment analysis system using real customer reviews to identify and categorize sentiment, while exploring the factors that influence customer experiences. By utilizing advanced NLP models, our system accurately analyzes text, identifies and evaluates various aspects of customer reviews, assesses their relative contributions and optimizes results to enhance performance. We demonstrate, through real-world use cases, how sentiment analysis can enhance strategies, improve forecasting and unlock new business opportunities.
Keywords: business strategy optimization, customer behavior, deep learning, natural language processing, sentiment
Developing a Business Intelligence (BI)-Based Information System for “Pelaḥ ha-Rimon” IEM-C-02
Gili Meshulam; gilosh1998@gmail.com Noa Sabag; noasabag101@gmail.com
Advisor: Dr. Dima Alberg
SCE - Shamoon College of Engineering, Be’er-Sheva
“Pelaḥ ha-Rimon” is a boutique business specializing in designing and preparing fruit baskets for various events. Currently, the business relies on a manual data entry system without advanced analytical tools, making it difficult to optimize decision-making. The goal of this project is to develop a BI-based information system for enhancing business operations, improving demand forecasting, optimizing pricing strategies and analyzing customer purchasing patterns. Our system includes interactive BI reports, seasonal demand analysis, and a star schema-based database structure for efficient data storage and retrieval. The implementation of BI tools, including “Google Looker,” is expected to improve operational efficiency, increase profitability and provide valuable insights for business growth.
Keywords: business intelligence, customer insights, data analysis, demand forecasting, pricing optimization
Book of Abstracts | 2025
107