Sentiment Classification of News Headlines on India in the US Newspaper: Semantic Orientation Approach vs Machine Learning. In this project Senetiment analysis on News headline is done using Semantic Oriented Approach and Machine Learning Approch. In Semantic Oriented Approch SentiWordNet Lexicon with WordNet is used to get sentiment score of each synset. In Machine learning algorithm SVM, Random Forest, Naive Bayes, RNN, and LSTM algorithms are used. Dataset for this project is downloaded from UCI machine learning library containing news published in different US newpapers.