Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
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Updated
Apr 6, 2022 - Jupyter Notebook
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
Screens legal text and extracts sentences containing user input party name-predicate phrases
This is the public repository for some tasks that I performed as an Intern (PAT) at Cognizant Technology Solutions. All these projects and tasks are based on AI ML, and involve topics ranging from NLP to time-series analysis, beginner to advanced topics in the field of AI ML.
EEA Jupyter Notebook Data Science Stack
Topic model analysis of Berkshire Hathaway annual letters (Completed Capstone Project #2)
NLP Pipeline for Relation Extraction
Audio is sent to DEEP-LEARNING 7-LAYERED DNN Model , which considers spectrogram of the audio and uses the Librosa library for classifying the particular emotions Angry, Sad, Disgust, Surprised, and a testing accuracy of 75%.
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