Research on Overseas Public Opinion Anomaly Recognition Based on News Sentiment Analysis —— Taking Huawei Enterprise as an Example

EasyChair Preprint 1601

Abstract

In the complex and ever-changing international situation, the analysis of international public opinion and overseas public opinion is of great significance to Chinese multinational enterprises to find out the crisis in time and make correct deci- sions. Through the news opinion mining, this paper studies how to use the sentiment analysis method to construct the public opinion index of multinational enterprises, and combines the abnormality detection algorithm to identify the positive and neg- ative public opinion abnormalities of the enterprise. Taking Huawei enterprises as an example to identify abnormalities in pub- lic opinion, the results show that the emergence of Huawei's positive public opinion in the international market is related to the release of Huawei's new technology and new products; the emergence of Huawei's negative public opinion is related to interna- tional political and economic factors such as “national security” and "Subsidies".

Keyphrases: Abnormality detection, Enterprise public opinion monitoring, Sentiment Analysis

@booklet{EasyChair:1601,
  author    = {Li Xiong and Lulu Tang and Zhaoran Xu},
  title     = {Research on Overseas Public Opinion Anomaly Recognition Based on News Sentiment Analysis —— Taking Huawei Enterprise as an Example},
  howpublished = {EasyChair Preprint 1601},
  year      = {EasyChair, 2019}}