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Speech emotion analyzer using a real-time machine learning algorithm to improve the accuracy and speed of sentiment analysis on unstructured data related to products.
Real Time Seq2Seq question-answering system with attention and pre-trained models. Using164M token corpus with NLTK/scikit-learn to reduce SME effort by 54%.
Tech stack: Python, Seq2Seq, BERT, Keras, NumPy, Pandas, NLTK, Stats, Scipy, and Scikit-learn
