Video to-be-improved item determining method and device

Abstract

The embodiment of the invention discloses a video to-be-improved item determining method and device. The method can include the following steps of obtaining a plurality of comment data of a target video from a plurality of websites, determining a comment item corresponding to each comment datum according to the text content of each comment datum, determining the comment grade of each comment datum according to the matching degree of the text content of the comment datum and a preset keyword corresponding to the comment grade, determining the comment score of each determined comment item according to the comment grade of each comment datum corresponding to the comment item, judging whether the comment score of each comment item is lower than a preset value corresponding to the comment item or not, and determining the comment items as to-be-improved items of the target video if yes. By means of the technical scheme, the to-be-improved items of the target video can be determined in time, and timeliness is high.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for determining video items to be improved. Background technique [0002] With the rapid development of Internet technology, the number of videos on the Internet is increasing, and video providers pay more and more attention to user experience. Video providers usually collect complaint information from users by setting multiple complaint options, such as actor complaints, price complaints, plot complaints, etc. When users are dissatisfied with certain aspects of a video, they can choose to contact the Complaints about the corresponding complaint options, the video provider makes statistics on the complaint information collected for each complaint option, determines the complaint option with more complaint information, and takes the determined complaint option as the video to be improved. Corresponding improvements are made in this aspect to enhance user ...

AI Technical Summary

Problems solved by technology

[0003] There are certain shortcomings in this method of determining items to be improved in a video, because most users may only watch videos as a way of leisure and entertainment. When users are not very satisfied with certain aspects of a video, they may not have the idea of ​​complaint , it will not choose the complaint option to make a complaint, so that the video provider collects less complaint information and the statistical sample is smaller, resulting in inaccurate statistical results, and even if the user chooses the complaint option to make a complaint, the video provider gets the complaint information Corresponding improvements can only be made later, and the timeliness is poor

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