Languages： Chinese English
Sensitivity analysis refers to the semantic analysis of text content, which can automatically identify whether the text contains any violent, reactionary, pornographic and other sensitive information.
Sensitivity determination algorithm is mainly used for filtering of sensitive information, including reactionary, pornographic, violent and other categories. Based on the statistical machine learning model, we applied the large corpus resources marked by manual annotation, combined with the multilingual sensitive dictionary based on linguistic knowledge and word vector construction, and realized the sensitivity analysis system combined with statistics and rules. The sensitivity determination algorithm currently supports both Chinese and English.