HarvestText

Why we included this project

HarvestText is a Chinese text mining library built around unsupervised and weakly supervised methods, so it can produce useful output without requiring a large labeled dataset. It handles the routine preprocessing chores: cleaning messy web text, splitting sentences while respecting tricky punctuation, and finding new words that standard segmenters tend to miss. Where it really helps is entity work, linking aliases and abbreviations to canonical names and even surfacing candidate aliases automatically from a large corpus. Bundled domain dictionaries for finance, food, law, and IT cut down setup time. The README demonstrates it on the social network in Romance of the Three Kingdoms, comment sentiment from Chinese Super League fans, and relation extraction from modern history course materials, which gives a concrete sense of its typical use: exploratory analysis and preprocessing on messy Chinese text before heavier modeling. For teams working with novels, social media posts, or specialized Chinese documents, the low supervision requirement is a practical advantage.