Information processing method and device and computer storage medium

Abstract

The embodiment of the invention discloses an information processing method, and the method comprises the steps: carrying out the clustering of texts in an original text set in a preset clustering mode, and obtaining a plurality of first clustering sets; and clustering the texts in each first clustering set in a preset clustering mode to obtain a plurality of second clustering sets, wherein the preset clustering mode is a first preset clustering mode or a second preset clustering mode. The embodiment of the invention further discloses an information processing device and a computer storage medium.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an information processing method, device and computer storage medium. Background technique [0002] In the era of information explosion, people's demand for fast and accurate sorting of massive information is increasing day by day. To meet this requirement, many applications have emerged, such as information retrieval, document plagiarism check, personalized recommendation, intelligent question answering, etc. In these applications, text clustering technology is the key core technology. Text clustering technology has become an important means to effectively organize, summarize and navigate text information. [0003] Unsupervised machine learning provides several clustering techniques, including partition-based methods, hierarchical clustering methods, density-based methods, grid-based methods, model-based methods, self-organizing map neural network methods, ant colony...

AI Technical Summary

Problems solved by technology

This clustering method has no complementary or progressive performance, but a simple "chimney" processing, and different methods or standards are actually used for each clustering, which makes the final clustering results inconsistent

Images