一种游戏信息的处理方法、装置、计算机设备及存储介质

By extracting text keywords in game information processing and utilizing multiple encoding and classification models, the problem of low efficiency in game bug handling in existing technologies has been solved, achieving more efficient bug information processing.

CN116531760BActive Publication Date: 2026-07-17NETEASE (HANGZHOU) NETWORK CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NETEASE (HANGZHOU) NETWORK CO LTD
Filing Date
2023-05-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, game testers need to enter accurate historical bug report numbers and current bug details when submitting bug reports, resulting in low processing efficiency.

Method used

By extracting text keywords from game information text, and using the jieba word segmentation algorithm and various encoding models (such as bag-of-words model and skip-gram model) for encoding processing, combined with the Naive Bayes model, the probability information of the processing personnel is determined, thereby accurately locating the target processing personnel.

Benefits of technology

It improved the accuracy and efficiency of game bug information processing, reduced the operation time of testers, and improved the efficiency of game problem information processing.

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Abstract

本申请实施例公开了一种游戏信息的处理方法、装置、计算机设备及存储介质。本方案通过获取用户输入的游戏问题信息文本，从该游戏问题信息文本中确定与指定游戏内容相关的文本关键词，然后通过训练后的多个编码模型分别对文本关键词进行编码处理，从而得到游戏问题信息文本对应的多个文本编码信息，进一步的，通过多个训练后的分类模型分别预测各文本编码信息归类于不同处理人员的概率信息，以根据概率信息从多个处理人员中确定需要对游戏问题信息文本进行处理的目标处理人员，准确定位出游戏问题信息文本对应的处理人员，可以提高对游戏问题信息的处理效率。
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