Sentimental Analysis

Spearheaded the development and implementation of a cutting-edge machine learning model utilizing NLP techniques to achieve an 83% success rate in predicting consumer sentiment from online feedback. Pioneered innovative machine learning approaches such as sentiment analysis and intention detection, resulting in a 25% increase in customer satisfaction and driving product improvement initiatives. Employed NLP and logistic regression techniques to develop a model for text analysis that achieved an 83% success rate. Deployed the model in the cloud for real-time analysis, resulting in a 50% reduction in processing time and showcasing strong technical skills and an ability to implement cloud-based solutions 

18 Jul 2022

Keywords
Python
Machine Learning
Streamlit
Data Science
Git
NLP
Web development

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