Text Quality Assessment

Languages: Chinese English

The text quality assessment algorithm can comprehensively determine the quality of the text, effectively identify the noise data including garbled, code, tags, scripts, invalid information and meaningless articles.


Text quality assessment algorithm refers to the filtering and cleaning of the Internet collected data for main users, so as to improve the quality of information and enhance the user experience. Text quality assessment algorithm applies machine learning, intelligent identification and other technologies, which can effectively identify the garbled data including garbled, code, script and other random and grammatically confused meaningless data.