A Topic Lifecycle Trend Prediction Algorithm on Facebook
Luo Chen · Proceedings · 2023
Recently, social media has been widely used for people to discuss public opinions and share their views.Internet public opinions have attracted a lot of attention from the government, enterprises and the general public.How to properly analyze, utilize and guide these online opinions is an extremely important issue that the world is currently faced with, and the prediction of topic lifecycle trends is the key to solving this problem.This paper proposes a topic lifecycle trend prediction algorithm based on Facebook data.The algorithm takes into account the similarity between new topics and historical topics in terms of lifecycle curves and the similarity in terms of text content, finds a curve that can best represent the future lifecycle trend of new topics, and then effectively predicts the trend of new topics.It is helpful and meaningful to use this method in the early warnings and predictions of online public opinions and hot topics.