Key Project Highlights
15+
years
ongoing engagement length
98%
accuracy
in sentiment analysis
99%
satisfaction
user experience
Client Overview
Conexus is a leading Norwegian education technology company specializing in data-driven learning solutions. Their platform supports educational institutions and policymakers by providing advanced analytics, e-learning tools, and personalized education insights.
Project Overview
Conexus worked with Neurond to develop an AI-powered sentiment analysis system for their multi-language e-learning platform. The goal was to classify the emotional tone of user reviews and extract valuable insights to enhance platform engagement and user satisfaction.
Challenge
Conexus needed a solution to extract meaningful insights from multi-language user reviews to:
- Understand User Sentiment – Classify emotional tones (positive, negative, neutral) to assess platform satisfaction.
- Process Multi-Language Data – Implement AI models capable of analyzing diverse linguistic inputs.
- Improve Platform Experience – Leverage AI insights to enhance e-learning engagement and retention.
Solution
Neurond AI developed a multi-language AI sentiment analysis system using state-of-the-art machine learning and NLP models.
1. AI Sentiment Classification
- Built a custom sentiment analysis model using fine-tuned DistilBERT for accurate text classification.
- Applied real-time prediction models to classify positive, neutral, and negative reviews.
2. Multi-Language Processing & Contrastive Learning
- Implemented contrastive learning techniques to handle multiple languages efficiently.
- Designed language-agnostic models for scalable sentiment analysis.
3. Data Engineering & Feedback Optimization
- Processed and structured large-scale review datasets to generate actionable insights.
- Provided real-time analytics to support continuous platform improvements.
Technologies
The Outcome
Neurond AI’s AI-powered sentiment analysis delivered key benefits for Conexus:
- Accurate classification of user sentiment across multiple languages.
- Enhanced platform optimization based on AI-driven user feedback insights.
- Increased user engagement through personalized learning improvements.
- Positive feedback from Conexus, validating the impact of AI-enhanced decision-making.
