Building a Sentiment Classification System With BERT Embeddings: Lessons Learned

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics, text analysis, and natural language processing. It is frequently used to assess a speaker or writer’s perspective on a subject or the overall contextual polarity of a piece of writing. The…

analysis and natural language processing bert building classification computational embeddings information language language processing lessons learned linguistics materials mining mlops natural natural language natural language processing opinion perspective processing sentiment sentiment analysis speaker text writer writing