Device, method, and computer-readable storage medium for generating text classification model

Abstract

The invention discloses a device for generating a text classification model, which includes a memory and a processor. The memory stores a model generation program that can run on the processor. When the program is executed by the processor, the following steps are implemented: obtaining word segmentation in the financial field Dictionary and text corpus in the financial field; select candidate new words from the text corpus and add them to the word segmentation dictionary; obtain a sample set and classify the training samples in the sample set; use the preset word segmentation based on the word segmentation dictionary with candidate new words added The algorithm segments the training samples in the sample set and extracts word vectors. Based on the adaboost algorithm, the word vectors and labeled category information are input into multiple weak classifiers for training to obtain a text classification model. The invention also proposes a method for generating a text classification model and a computer-readable storage medium. The invention solves the problem in the prior art that it is impossible to classify texts in the financial field with emotional orientation.

Description

technical field [0001] The present invention relates to the technical field of text classification, in particular to a text classification model generation device, method and computer-readable storage medium. Background technique [0002] With the development of the Internet and information technology, more and more organizations and individuals express their opinions, attitudes and positions on various things in various ways through the Internet, such as various news reviews, forums and social networking sites. These massive amounts of information have certain commercial value for various aspects such as e-commerce and market forecasting, especially the financial industry, which is the fastest growing and most affected industry in Internet information. In-depth research has gradually become an important topic. [0003] Text sentiment analysis is a part of text sentiment analysis. Through sentiment analysis, you can grasp the positive and negative tendencies of this article...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a text classification model generation device, method and computer-readable storage medium, the main purpose of which is to propose a text classification model generation device that can be used for emotional tendency classification of texts in the financial field, so as to solve the problems in the prior art The problem that it is impossible to classify the emotional orientation of texts in the financial field

Images