From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

This is a project to take use of text mining techniques to analyze social media data and generate some sentiment maps.

Analyzed 500 product reviews using NLP and Sentiment Analysis especially Ranking Feature to derive actionable recommendations. Used Sentimental Analysis, TF IDF, Sentiment-Keyword Mapping, and Random Forrest to build a model to help make a ranking based features output based on what is important for customers.