Implemented sentiment analysis for an e-commerce company, categorizing customer reviews into positive, neutral, or negative sentiments using advanced AI/ML techniques.
Implementing Sentiment Analysis Using AI/ML Techniques - Main project view
The client sought a scalable sentiment analysis system to better comprehend customer sentiment from the rapidly growing number of reviews and feedback.
Implemented two approaches: one using a pre-trained BERT model and another custom model to provide scalable sentiment analysis.
By offering these two sentiment analysis solutions, we helped the client achieve their objective of better understanding their customers' feedback at scale. Whether utilizing state-of-the-art pre-trained models or custom-built solutions, our expertise in AI/ML allowed the client to make data-driven decisions that significantly impacted their business performance. If you are looking to implement AI/ML solutions to enhance your business operations, whether through natural language processing, computer vision, or predictive analytics, we are here to help. Contact us today to get started on your AI journey!
A mid-sized e-commerce company was facing challenges in understanding the sentiment of their customers through reviews and feedback. With a growing user base, they needed a scalable sentiment analysis solution to provide valuable insights into customer behavior, helping them improve product offerings and customer satisfaction.
Developed an AI-powered system for Molenkoning Horse Walkers to monitor equine movement and health through real-time video analysis and heart rate monitoring, enhancing injury prevention and training efficiency.
Built an AI-powered platform to boost employee engagement by tracking behavior, monitoring moods, and delivering personalized greetings, integrated with HRMS for attendance and mood analysis.
Created a custom mobile app for advanced photo and video editing with real-time effects, artistic filters, and Bitmoji integration, without third-party SDKs.