Implemented two approaches: one using a pre-trained BERT model and another custom model to provide scalable sentiment analysis.

• We assisted the client in gathering and labeling customer reviews, followed by data cleaning and pre-processing with tokenization and TF-IDF.
• Text data was converted into numerical vectors using Bag-of-Words, TF-IDF, and Word Embeddings.

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!