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Text classification method, question-answering system and dialogue robot

A dialogue robot and text classification technology, applied in the field of artificial intelligence, can solve the problems of consuming huge labor costs and time costs, and achieve the effect of saving labor and time costs

Active Publication Date: 2021-02-26
XIAMEN KUAISHANGTONG TECH CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the updating method and system, electronic equipment and storage medium of a text classification model disclosed in the Chinese invention patent CN111737472A need to collect the questioning operation performed by the user on the original classification result, and the webpage text and the webpage text The classification result of artificial mark is used as new sample; The data set that will comprise original training set and described new sample is divided into training set, test set and verification set, retrains text classification model; According to text classification model in training set, The F1 value on the test set and the verification set screens the best model, and updates the target text classification model to the best model, which consumes a lot of labor and time costs

Method used

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  • Text classification method, question-answering system and dialogue robot
  • Text classification method, question-answering system and dialogue robot

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention. Obviously, the described embodiments are the embodiment of the present invention Some, but not all, embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] In the fields of machine learning and pattern recognition, it is generally necessary to divide samples into three independent parts: training set, validation set and test set. The training set is u...

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Abstract

The invention discloses a text classification method, a question-answering system and a dialogue robot, and the method comprises the steps: predicting data of a verification set to acquire an initialcategory, a prediction category and a prediction score of the verification set; selecting a category I as a category to be optimized, and extracting a data set A from the verification set according tothe category I to be optimized; extracting a data set Ai from the data set A, wherein the initial category of the data set Ai is a category Ii; sorting the data set Ai according to the prediction score and calculating a statistical score Si; and finally, inputting the to-be-classified text into the target model for prediction, and outputting a final prediction category, thereby realizing a methodfor improving the recognition accuracy of the specific category under the condition of not changing the data model, and saving the labor and time cost of data supplement and model adjustment.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a text classification method and a question answering system and a dialogue robot applying the method. Background technique [0002] In the process of human-computer interaction, the first action of the dialogue robot system is to obtain the target sentence input by the user. After the target sentence input is obtained, the server will analyze and identify the target sentence input by the user, so that it can A more appropriate answer to a user's question or request for feedback. [0003] In a dialogue robot, there are usually some intentions with more important meanings, such as consulting contact information, etc., and the operation of obtaining contact information is directly related to the success of the dialogue. However, the target sentence input by the user is more than one sentence, it may be many separate sentences, and it may also be sentences with uppe...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F16/35G06F40/30G06N20/00
CPCG06F16/3329G06F16/3344G06F16/355G06F40/30G06N20/00
Inventor 黄友福肖龙源廖斌
Owner XIAMEN KUAISHANGTONG TECH CORP LTD
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