期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：4621-4623
出版社：TechScience Publications
摘要：The advent use of new online social media such as articles, blogs, message boards, news channels, and in general Web content has dramatically changed the way people look at various things around them. Today, it’s a daily practice for many people to read news online. People's perspective tends to undergo a change as per the news content they read. The majority of the content that we read today is on the negative aspects of various things e.g. corruption, rapes, thefts etc. Reading such news is spreading negativity amongst the people. Positive news seems to have gone into a hiding. The positivity surrounding the good news has been drastically reduced by the number of bad news. This has made a great practical use of Sentiment Analysis and there has been more innovation in this area in recent days. Sentiment analysis refers to a broad range of fields of text mining, natural language processing and computational linguistics. It traditionally emphasizes on classification of text document into positive and negative categories. Sentiment analysis of any text document has emerged as the most useful application in the area of sentiment analysis. The objective of this project is to provide a platform for serving good news and create a positive environment. This is achieved by finding the sentiments of the news articles and filtering out the negative articles. This would enable us to focus only on the good news which will help spread positivity around and would allow people to think positively.
