论文标题
新闻情绪分析
News Sentiment Analysis
论文作者
论文摘要
现代技术时代已重塑了几个领域的传统生活方式。随着信息技术的发展，发布新闻和事件的媒介变得更快。它还充斥着大量数据，每天每天每分钟发布数百万用户，以评论，博客的形式，通过博客，社交媒体微博网站等新闻等。手动遍历如此巨大的数据是一项艰巨的工作，因此，采用复杂的方法来自动有效地执行此任务。新闻报道包括情感的事件 - 好，坏，中立。情感分析用于调查文本信息中存在的人类情绪。本文提出了一种基于词典的新闻文章情感分析方法。实验已在BBC新闻数据集上进行，该数据集表达了所采用方法的适用性和验证。
Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology. IT has also been flooded with immense amounts of data, which is being published every minute of every day, by millions of users, in the shape of comments, blogs, news sharing through blogs, social media micro-blogging websites and many more. Manual traversal of such huge data is a challenging job, thus, sophisticated methods are acquired to perform this task automatically and efficiently. News reports events that comprise of emotions - good, bad, neutral. Sentiment analysis is utilized to investigate human emotions present in textual information. This paper presents a lexicon-based approach for sentiment analysis of news articles. The experiments have been performed on BBC news data set, which expresses the applicability and validation of the adopted approach.
