Ai knowledge speaking system based on cloud sharing wisdom

Abstract

The invention discloses an Ai knowledge speaking system based on cloud sharing wisdom, and the system comprises a first use access authorization module, a voice input module, a new voice tag module, a voice input tag relation module, a tag voice search module, and an information structured induction module. Through an open type voice input mode, the range of information collection is broken, voice content is converted into characters more accurately, labels are identified, a data user can be helped to improve the information utilization rate, information is structured, the labels are rapidly input in a voice mode, label information is input anytime and anywhere, and the problem that foreground operation scenes are not universal is solved, so information acquisition can be suitable for indoor office scenes; moreover, the method is suitable for field service, business trip and mobile office scenes, the working efficiency is better improved, the situation that the usage rate of personnel is not high can be avoided to a great extent, the situations that the usage rate of users is not high and work is low are solved, and information collection is more time-saving and labor-saving.

Description

technical field [0001] The invention relates to the technical field of information collection, in particular to an Ai knowledge theory system based on cloud sharing wisdom. Background technique [0002] Ai Knowledge is based on a professional thesaurus that is vertical to the industry. On this basis, the functions of fast tag entry, tag search, tag relationship entry, and information structured induction function are added to facilitate users to quickly enter tag information on mobile phones and help related Users view the overall feedback information in a structured manner. At present, information is collected mainly through online data capture and offline research, while offline research is mainly through targeted questionnaires, interviews, and on-site observations. The research method is sample survey, sample size, survey The frequency is limited, and it is impossible to achieve the "almost full amount" method of online data capture; [0003] Moreover, the current infor...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an Ai knowledge theory system based on cloud sharing wisdom, which can effectively solve the inconvenience and inaccuracy of the front desk operation proposed in the above background technology. It is relatively inconvenient to input through text, the collection scenes are different, and the accuracy of speech to text is accurate. There will be a large difference in the rate of professional vocabulary and industry vocabulary, which is not universal. The subject range of collected information is fixed. At present, most of the collected information is targeted, resulting in the omission of information outside the scope of the subject. Due to the collection scenarios Different, the utilization rate of data collected according to voice input to text is very low, and professional vocabulary is mistakenly turned over, which leads to the problem that the amount of real usable data is small, and the cost of manual processing is high

Images