Automated sentiment analysis of textual comments and feedbacks of flipkart product reviews Cleaned the data Processed the data Removed regular expressions emoji stopwords Used tf-idf sentiment analysistopic modelling named entity recognition (NER) text classificationtext generationAnd used various machine learning modelsand built a model based on the predictions This role focuses on automating the extraction of valuable insights from textual comments and feedbacks, enabling organizations to gain a deeper understanding of customer sentiments, improve products and services, and make data-driven decisions.the summary of the role of NLP engineer for automation of textual comments and feedbacks involved developing and implementing NLP techniques and algorithms to process, analyze, and derive insights from textual data, enabling organizations to automate the understanding and utilization of comments and feedbacks for various business purposes.