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Research on Public Opinion Monitoring Based on Machine Learning

1. Background and Significance of Public Opinion Monitoring ...
Devdiscourse13d

The old-school formula that’s beating modern AI cancer tools

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...
JSTOR Daily2y

Text Preprocessing For Unsupervised Learning: Why It Matters, When It ...

Despite the popularity of unsupervised techniques for political science text-as-data research, the importance and implications of preprocessing decisions in this domain have received scant systematic ...
Medical Dialogues4d

From Data to Action: Study Identifying Determinants of Short Birth Intervals

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...
CoinTelegraph7y

IBM Develops Preprocessing Block, Makes Machine Learning Faster Tenfold

International Business Machines’ (IBM) research laboratory in Zurich, Switzerland has developed a new generic preprocessing building block that could make the speed by which machine learning ...

Zhonghai Huasheng Applies for Patent for Machine Learning-Based Customer Churn Prediction System to Effectively Reduce Customer Churn Rate

On August 25, 2025, Financial界 reported that according to information from the National Intellectual Property Administration, Zhonghai Huasheng Digital Technology Co., Ltd. has applied for a patent ...
ZDNet3y

Machine learning is going real-time: Here's why and how

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.