Intelligent text cleaning method and apparatus, and computer-readable storage medium

An intelligent text cleaning apparatus, comprising a memory and a processor, wherein the memory stores an intelligent text cleaning program executable on the processor to perform the steps of:

• acquiring a text set, and preprocessing the text set to obtain a word vector text set;
• subjecting the word vector text set to a full-text matrix numeralization to generate a principal word vector matrix and a text word vector matrix;
• inputting the principal word vector matrix to a BiLSTM model to generate an intermediate text vector;
• inputting the text word vector matrix to a convolution neural network model to generate a target text vector;
• concatenating the intermediate text vector and the target text vector to obtain combined text vectors, inputting the combined text vectors to a pre-constructed semantic recognition classifier model, outputting an aggregated text vector, subjecting the aggregated text vector to reverse recovery using a word2vec reverse algorithm, and outputting a standard text.

A non-transitory computer-readable storage medium having an intelligent text cleaning program stored thereon, the intelligent text cleaning program being executable by one or more processors to perform the steps of:

• acquiring a text set, and preprocessing the text set to obtain a word vector text set;
• subjecting the word vector text set to a full-text matrix numeralization to generate a principal word vector matrix and a text word vector matrix;
• inputting the principal word vector matrix to a BiLSTM model to generate an intermediate text vector;
• inputting the text word vector matrix to a convolution neural network model to generate a target text vector;
• concatenating the intermediate text vector and the target text vector to obtain combined text vectors, inputting the combined text vectors to a pre-constructed semantic recognition classifier model, outputting an aggregated text vector, subjecting the aggregated text vector to reverse recovery using a word2vec reverse algorithm, and outputting a standard text.