#Count-vectorizer
Showing 5 of 5 repositories tagged #count-vectorizer, ranked by stars
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.