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User Sentiment Analysis

User Sentiment Analysis

In Progress

Intelligent system for analyzing user sentiment in Persian social networks using deep learning.

Project Introduction

ZharfAI's user sentiment analysis system is a smart solution for analyzing opinions, views, and user feedback on Persian social networks. This system, leveraging advanced deep learning and natural language processing technologies, identifies and categorizes user emotions and attitudes, providing valuable information about public feedback on products, services, events, or various topics.

Key Features

  • Accurate sentiment analysis in Persian texts considering linguistic complexities
  • Identification and classification of positive, negative, and neutral sentiments
  • Analysis of sentiment trends over time
  • Management dashboard for viewing analysis results
  • Advanced reporting with customization capabilities

Technologies Used

  • Deep Learning
  • Natural Language Processing (NLP)
  • Recurrent Neural Networks (RNN)
  • BERT and Transformer Models
  • Big Data Analytics

Applications

  • Marketing and Brand Management
  • Customer Experience Improvement
  • Market Research
  • Crisis Management and Public Relations
  • Public Opinion Monitoring

Collaborate on This Project

For more information about this project and collaboration opportunities, please contact us.