With the growth of internet, the online news publishing site have increased tremendously. The major news houses have shifted their focus towards online publication rather than the prints. With the evolution of online news publication, anyone can publish anything without caring about the impact that it could make it to the society. The maximum number of news published digitally are negative and have been feeding negativity among the general public. This project “Sentiment Analysis of Nepali news headlines” is carried out so that the reader can read the news of their preference i.e. positive, negative, or neutral as per their choice. The system automatically analyses the sentiment of the news using machine learning and places them in one of the three categories. The news from major news publishing sites can be grouped using this project.