Dataset:https://www.kaggle.com/datasets/saurabhshahane/twitter-sentiment-dataset
Proficient in analyzing sentences and statements to determine their sentiment, categorizing them accurately as either Positive, Negative, or Neutral with precision and efficiency.
Used Masked Language Model(MLM), NSP, NLP, Transformers, Embeddings, BERT
Skilled in extracting sentiment from human language text, employing advanced natural language processing techniques to accurately analyze and interpret the underlying emotions conveyed.