Emotional analysis of news headlines It consists of three stages.First stage is data preprocessing Data Preprocessing is done using StopWordRemoval.py and Stemmer.py StopWordRemoval.py removals all stopwords,punctuation and digits. This speeds up and eventually reduces computation time and increases accuracy as well Stemming.py is implementation of standard porter stemmer algorithm with minor changes. This removes suffices from words and maps to its stem