面向多源社交网络舆情的情感分析算法研究

Research on sentiment analysis algorithm for public opinion of multi-source social networks

随着互联网技术的快速发展,社交媒体的多元化也应运而生,因此如何有效分析多源社交网络舆情成为当前研究的热点。文中结合舆情信息的抓取、分词、过滤停用词等三个核心处理模块,基于舆情的情感及趋向性分析,提出了一种面向多源社交网络舆情的情感分析算法。仿真结果表明,该算法在多源社交网络舆情的分析处理中检测效果良好,说明该算法有效。文中的算法研究,可为该领域的进一步研究提供有价值的参考。

With the rapid development of Internet technology,the diversification of social media has also emerged.Therefore,how to effectively analyze the multi-source social network public opinion has become a hot topic of current research.This paper combines three core processing modules of lyric information,such as crawling,word segmentation and filtering stop words,proposes a sentiment analysis algorithm for multi-source social networks based on lyric emotion and trend analysisi.The simulation results show that the proposed algorithm performs well in the analysis and processing of multi-source social network public opinion,which indicates that the algorithm is effective,and can provide valuable reference for further research in this field.