Companies struggle to understand public sentiment and trending topics across social media platforms, impacting decision-making and brand management.
We built multiple models per company like DistilBERT, BERTopic, BERT-based Clustering, GPT-4, NER Models to classify social media posts. The data was scraped, cleaned, and fine-tuned for multi-label categorization, ensuring efficient and accurate classification.
The solution automates social media analysis, providing real-time insights to help companies prioritize features, address complaints, and track competition.
Unlike generic sentiment analysis, our company-specific models ensure precise categorization, offering deeper insights and real-time tracking for better decision-making.