Method, apparatus and storage medium for labeling capsule endoscopy report

An electronic apparatus, comprising a memory and a processor, wherein the memory stores computer programs that run on the processor,

• and the processor executes the computer programs to implement the steps of a method for labelling capsule endoscopy report, wherein the method comprises:
• collecting p report samples to establish an initial corpus database, any of the p report samples comprising an original text and labeled information, and the labeled information being a naming category corresponding to each noun in the original text
• parsing the report samples in the initial corpus database, to establish a named entity recognition dictionary and a pattern rules database, and removing duplicate texts from the named entity recognition dictionary and the pattern rules database;
• wherein the named entity recognition dictionary comprises named categories in the report samples and nouns corresponding to each named category, and the pattern rules database comprises unrecognized texts in the report samples and rules, laws, and characteristics corresponding to the unrecognized texts;
• since the q-th report sample is collected, q=p+1, querying the named entity recognition dictionary and the pattern rules database with texts appearing in the report sample, to automatically label the current report sample.

A computer-readable storage medium storing computer programs,

• wherein the computer programs are executed by the processor to implement the steps of a method for labelling capsule endoscopy report,
• wherein the method comprises:
• collecting p report samples to establish an initial corpus database, any of the p report samples comprising an original text and labeled information, and the labeled information being a naming category corresponding to each noun in the original text
• parsing the report samples in the initial corpus database, to establish a named entity recognition dictionary and a pattern rules database, and removing duplicate texts from the named entity recognition dictionary and the pattern rules database;
• wherein the named entity recognition dictionary comprises named categories in the report samples and nouns corresponding to each named category, and the pattern rules database comprises unrecognized texts in the report samples and rules, laws, and characteristics corresponding to the unrecognized texts;
• since the q-th report sample is collected, q=p+1, querying the named entity recognition dictionary and the pattern rules database with texts appearing in the report sample, to automatically label the current report sample.