Abstract:
Nowadays, media from various countries have published a large number of report tweets on international hot topics. The rapid spread of news events on twitter has become i...Show MoreMetadata
Abstract:
Nowadays, media from various countries have published a large number of report tweets on international hot topics. The rapid spread of news events on twitter has become increasingly popular. For hotspot mining of news events, topic division and sentiment analysis are two indispensable factors. In this Paper, we use topic segmentation and sentiment analysis to conduct hot mining of social media news for the US media and Chinese media tweets in Huawei-related news in 2019. First, we apply LDA to media tweets to divide topics and obtain related topic words. Then we devised improved methods for effective sentiment analysis on media tweets and influencer comments respectively. What's more, we draw some valid conclusions about news hotspot mining in social media tweets.
Date of Conference: 02-02 December 2020
Date Added to IEEE Xplore: 05 July 2021
ISBN Information: