0% Complete
English
صفحه اصلی
/
شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
AI-Powered Beauty Insights: Sentiment Analysis in a Low-Resource Language
نویسندگان :
Sajedeh Talebi
1
Neda Abdolvand
2
Fatemeh Mahdian
3
1- دانشگاه الزهرا(س)
2- دانشگاه الزهرا(س)
3- دانشگاه الزهرا(س)
کلمات کلیدی :
sentiment analysis،low-resource language،cosmetic reviews،ensemble learning،Persian natural language processing،Digikala
چکیده :
This study uses artificial intelligence (AI) and natural language processing (NLP) to analyze 24,256 Persian-language cosmetic reviews from Digikala, Iran’s leading e-commerce platform, to uncover consumer preferences for skincare products, including Exfoliating Cream, Anti-Wrinkle Cream, Eye Moisturizer, and Sunscreen Cream. Using Pars-BERT, a transformer model tailored for Persian, and preprocessing tools like Hazm and FarsiYar, our pipeline employs ensemble learning and data augmentation (e.g., SMOTE, a technique to balance datasets) to identify “effectiveness” and “price” as key drivers of purchase decisions. Visualizations, including word clouds and UMAP (a dimensionality reduction technique), enable brands to optimize product positioning and personalize marketing campaigns in low-resource language markets. This approach advances Persian NLP and provides e-commerce businesses with data-driven tools to enhance sales and customer satisfaction.
لیست مقالات
لیست مقالات بایگانی شده
User Preferences Elicitation in Bilateral Automated Negotiation Using Recursive Least Square Estimation
Farnaz Salmanian - Dr Hamid Jazayeri - Dr Javad Kazemitabar
ارائه یک الگوریتم سلسله مراتبی جهت تشخیص نفوذ در شبکه های کامپیوتری
دکتر باقر رحیم پور کامی - سیدمحمد سیدی برشی باقر رحیم پور کامی - سیدمحمد سیدی برشی -
AI-based Secure Intrusion Detection Framework for Digital Twin-enabled Critical Infrastructure
Tanisha Patel - Nilesh Kumar Jadav - Tejal Rathod - Sudeep Tanwar - Deepak Garg - Hossein Shahinzadeh
An Optimized GBDT-Based Model Using SMOTE for Effective Diagnosis of Coronary Heart Disease
Elahe Moradi - Mohammad Javadian
Load Balancing in Software-Defined Networks Using Multi-Level Thresholds and Hybrid Switch Migration Strategies
Alireza Karimi - Mohammad yousef Darmani
Predicting Concentration of Particulate Matter (PM2.5) in Hamedan using Machine Learning Algorithms
Anita Karim Ghassabpour - Hatam Abdoli - Muharram Mansoorizadeh - Saeid Seyedi
3D Mesh ONoC: Design of low Insertion Loss and Non-blocking Optical Router and Efficient Routing Algorithm
Sanaz Asadinia - Elham Yaghoubi - Mostafa Sadeghi - Mahdi Mehrabi
Embedding-Consistent Contrastive Learning: A Robust Approach for Imbalanced Classification
Sobhan Siamak - Eghbal Mansoori
Smart City Standardized Evaluation :Use Case of Mashhad
Dr ُSeyed Mohammadreza Mirsarraf - Dr Alireza Yari - Dr Navid Zohdi - Ali Motevalizadeh
یک روش کارآمد جهت تشخیص آنلاین حملات DRDoS به سرویس های مبتنی بر UDP درمعماری SDN با استفاده از الگوریتم های یادگیری ماشین
میترا اکبری کهنه شهری - دکتر رضا محمدی - دکتر محمد نصیری میترا اکبری کهنه شهری - رضا محمدی - محمد نصیری -
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0
