Generation device and method for text classification model and a computer readable memory medium

Abstract

The invention discloses a generation device for a text classification model. The generation device comprises a memory and a processor. A model generation program capable of being operated on the processor is stored on the memory. When the program is performed by the processor, the program comprises the following steps of obtaining a word segmentation dictionary in the financial field and a text corpus in the financial field; selecting candidate new words from the text corpus and adding the candidate new words to the word segmentation dictionary; obtaining a sample set, and carrying out type labeling on training samples in the sample set; on the basis of the word segmentation dictionary in which the candidate new words are added, carrying out word segmentation on the training samples in thesample set through utilization of a preset word segmentation algorithm; and extracting word vectors, and on the basis of an adaboost algorithm, inputting the word vectors and labeled type informationinto a plurality of weak classifiers for training, thereby obtaining a text classification model. The invention also provides a generation method for the text classification model and a computer readable memory medium. According to the device, the method and the computer readable memory medium, the problem that in the prior art, emotion tendency classification cannot be carried out on the financial field texts is solved.

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...

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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

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