Sentiment Analysis of News Headlines Based on Sentiment Lexicon and Deep Learning
People can be able to view the news and know whether the news is positive, neutral or negative by knowing sentiment analysis of the particular news through one of the sentiment analysis techniques called lexicon sentiment and using Deep learning algorithms.
Abstract
The faster-growing economy and technologies make people run for their daily needs, people all over the world run of time to do their work and return home, and even some people are in lack the valuable time they spend with their families. In such a fast-moving life people run out of time to know the detailed news and read newspapers. This led to the development of mobile apps that update news in short message formats. Later only the headlines of the news articles were shared through the internet and apps. This gave sophisticated news knowing experience to the people as they can get through the news headline on the go. Later to make this process more convenient one can know whether the news is positive, neutral or negative. As per their interest in the particular matter, people can be able to view the news, they wanted by knowing sentiment analysis of the particular news. This process of sentiment analysis of news headlines can be achieved through one of the sentiment analysis techniques called lexicon sentiment and using Deep learning algorithms.