Subjective question marking system and method combining short text clustering and recommendation mechanism
A technology of subjective questions and short texts, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as the inability to apply the automatic review system, the low reliability of the review data, and the inability to trace the review process, etc., to achieve The effect of reducing random reviews, avoiding the possibility of inconsistency, and reducing accidental errors
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[0030] The present invention will be described in detail below with reference to the drawings and specific implementations.
[0031] Such as figure 1 As shown, the present invention includes that the system includes a computer and an answering interface marked with a specific segmentation symbol; the computer runs a subjective question review system, and the review system includes a data preprocessing module, a clustering analysis module, a recommendation visualization module, Review the database.
[0032] Such as figure 2 As shown, the specific implementation of the data preprocessing module in the present invention is as follows:
[0033] The user submits student answers and uploads the answers to the review database. In this example, the open source word segmentation tool jieba (see:) can also be used opennlp (http: / / opennlp.apache.org / ) or nlpir (http: / / ictclas. nlpir.org / ) and a custom user dictionary built to segment the answers. Jieba is a commonly used word segmentation com...
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