摘要
随着信息技术的发展,利用情感分析方法挖掘股票评论信息,通过研究股民对股票涨跌趋势做出的评论来研究股票市场的发展规律,可以更好的了解股票市场。本文首先从影响股票市场走势的几大因素中,提出了股票评论对股票市场的重要作用,而分析股票评论则要用到情感分析技术。然后分别介绍了股票市场中,传统的情感分析方法与情感分析方法的现状。最后,发现在对股票评论的情感分析方法中存在自动化程度较低、股评情感词典较少等有待完善之处。
With the development of information technology, the use of sentiment analysis methods to mine stock comment information, and to study the development laws of the stock market by studying the comments made by stockholders on the stock rise and fall trends, can better understand the stock market. This article first puts forward the important role of stock commentary on the stock market from several factors that affect the trend of the stock market, and sentiment analysis technology is used to analyze stock commentary. Then respectively introduced the current situation of traditional sentiment analysis methods and sentiment analysis methods in the stock market. Finally, it is found that there is a low degree of automation in the sentiment analysis method for stock reviews, and there are fewer stock review sentiment dictionaries that need to be improved.
出处
《统计学与应用》
2021年第6期957-962,共6页
Statistical and Application