Research on Hot Micro-blog Forecast Based on XGBOOST and Random Forest

Author:

Wang Jianrong,Lou Chao,Yu Ruiguo,Gao Jie,Xu Tianyi,Yu Mei,Di Haibo

Publisher

Springer International Publishing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs;Information Processing & Management;2024-03

2. Effects of sampling frequency on short-term prediction of landslide displacement;Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence;2020-04-28

3. An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise;Mathematical Problems in Engineering;2019-09-16

4. Stacking-Based Ensemble Learning of Self-Media Data for Marketing Intention Detection;Future Internet;2019-07-10

5. Power Load Forecasting Based on the Combined Model of LSTM and XGBoost;Proceedings of the 2019 the International Conference on Pattern Recognition and Artificial Intelligence - PRAI '19;2019

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