How is the ranking of hot topics on Weibo and Baidu posts generated?

Weibo and Post bars are high-concurrency websites built by top PHP in China. How did they come up with this hot topic ranking? Currently, I only want to use the Chinese word segmentation dictionary to perform word segmentation and statistics on the content of the entire site. However, such high-concurrency websites produce hundreds of millions of data records every day. word segmentation is like...

Weibo and Post bars are high-concurrency websites built by top PHP in China. How did they come up with this hot topic ranking?
Currently, I only want to use the Chinese word segmentation dictionary to perform word segmentation and statistics on the content of the entire site. However, such high-concurrency websites produce hundreds of millions of data records every day. how can we solve the efficiency problem if we use word segmentation? Or what other technologies have they used?

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Weibo and Post bars are high-concurrency websites built by top PHP in China. How did they come up with this hot topic ranking?
Currently, I only want to use the Chinese word segmentation dictionary to perform word segmentation and statistics on the content of the entire site. However, such high-concurrency websites produce hundreds of millions of data records every day. how can we solve the efficiency problem if we use word segmentation? Or what other technologies have they used?

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