The aim of this project is to analyze the reviews given by visitors from different countries of the world using Natural Language Processing (NLP) to understand the sentiment of the reviews and classify them using Sentiment Analysis metrics like Sentiment Polarity and VADER Polarity. This processed data is then fed to different classifier models (DecisionTreeClassifier and RandomForestClassifier) to get trained and predict the sentiment of the test reviews.
The aim of this project is to analyze the reviews given by visitors from different countries of the world using Natural Language Processing (NLP) to understand the sentiment of the reviews and classify them using Sentiment Analysis metrics like Sentiment Polarity and VADER Polarity. This processed data is then fed to different classifier models (DecisionTreeClassifier and RandomForestClassifier) to get trained and predict the sentiment of the test reviews.
Contribution under Python > Machine Learning.
Kindly assign me this under GSSoC'22.