Keyword searching method, computing device and storage medium

Abstract

The invention discloses a keyword searching method, a computing device and a storage medium, and the method comprises the steps: opening a target document in a text editor to display the text content of the target document; determining a current text content display area in the text editor as a current visual area; responding to the operation of inputting the keyword by the user and triggering a search interface, judging whether the current visual area comprises matching items of the keyword or not, if so, searching all the matching items of the keyword from the current visual area, and if not, determining the next visual area and searching all the matching items of the keyword from the determined next visual area; and storing all the searched matching items. According to the method, the matching items of the keywords are searched from the document in a local search mode, compared with full-text search, the local search range is small, the search content is few, occupation of equipment resources can be reduced in the search process, the response speed of equipment can be increased, the time needed by search is shortened, and the search speed is increased.

Description

technical field [0001] The invention relates to the technical field of document processing, in particular to a keyword search method, a computing device and a storage medium. Background technique [0002] With the rapid development of the Internet, more and more application programs are developed, and correspondingly, more and more editing application programs (such as text editors) are also developed. In order to facilitate users to find keywords in documents, most of the existing text editors have a full-text search function. The full-text search function is the function of finding all matching items of keywords in the entire content of the document and displaying them in a highlighted manner. All matches. However, in the scenario where the above method has a large document and too many matching items satisfying the search condition, due to the large document, the speed of full-text search is slow and the efficiency is low. And when there are too many matching items, too...

AI Technical Summary

Problems solved by technology

However, in the scenario where the above method has a large document and too many matching items satisfying the search conditions, the full-text search is slow and inefficient due to the large document

And when there are too many matching items, too many device resources will be occupied during the execution process, and too much memory will still be occupied to save the matching items after the execution, resulting in excessive resource occupation, making the device prone to freezes, and reducing user operations. response speed

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