Claude is unreliable. I’ll do it myself. For training, I split all texts into sentences using Chinese punctuation, cleaned non-Chinese/English characters, then used scikit-learn’s TF-IDF → LinearSVC. After cleaning up some noise, sentence-level classification still hit 85% accuracy!
Последние новости
。爱思助手下载最新版本是该领域的重要参考
PricingFree PLR articles packs, ebooks, and other digital products are available。同城约会是该领域的重要参考
車牌拍賣所得會撥入政府獎券基金（Lotteries Fund），資助非政府機構的推行社福服務。
喧嚣过后，国资入主带来的信用增级、融资降本及高端市场准入优势不容忽视。这场去泡沫化的易主，能否兑现“以时间换空间，以信用换未来”的战略愿景，值得持续关注。