On-line classroom discussion short text real-time grouping method and system based on text clustering

Abstract

The invention discloses an on-line classroom discussion short text real-time grouping method and system based on text clustering. The method comprises the steps of conducting word-splitting preprocessing and stop-word preprocessing on text data; obtaining all text item keywords, counting all the text item keywords and storing the text item keywords into a keyword table keyTable; conducting frequent item set mining on a preprocessed text set, filtering all sub-item quasi-frequent item sets and conducting coarse cluster classification in combination with a keyword table definition quasi-frequentitem set similarity calculation rule; mapping points, the closest to the cluster center, of all clusters to the text set, calculating TF-IDF values of text word sets in all the clusters and iteratingthe center of mass to be optimal according to the distance; pushing the obtained K clusters in real time in group. Through the combination of the keyword table definition quasi-frequent item set similarity calculation rule, the clustering accuracy of an on-line discussion short text is effectively improved; through a quasi-frequent item set filtering strategy, the clustering efficiency is effectively improved, and a clustering method is accelerated; the text information content discussed on an on-line classroom is automatically classified into multiple themes, and the text content is groupedaccording to the themes.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a text clustering-based instant grouping method and system for online classroom discussion short texts. Background technique [0002] The online cloud classroom platform that integrates the Internet and traditional educational resources has emerged in recent years, and major universities and educational institutions have set up cloud classroom online platforms one after another. Cloud classroom creates an instant online interactive classroom for users, and is very popular among online learners because of its high efficiency, convenience, and immediacy. In the interactive part, real-time grouping of online classroom discussion content can make the discussion content more clear and clear, and can effectively improve the reading efficiency of online learners. Data mining methods are often used for operation. [0003] In the prior art, a common method for grouping unmarked...

AI Technical Summary

Problems solved by technology

Through text preprocessing, keyword mining, rough clustering of quasi-frequent itemsets combined with TF-IDF to calculate the text distance between clusters, iteratively update the centroid, investigate and clarify the number of clusters, to a certain extent overcome the traditional clustering algorithm that cannot be accurately applied to the line Discuss questions about short texts in class

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