Live streaming comment analysis method and device, electronic equipment and storage medium

An analysis method and live video technology, which can be used in electronic digital data processing, text database clustering/classification, special data processing applications, etc., and can solve problems such as low efficiency of commodity names.

Inactive Publication Date: 2020-10-23
北京神州泰岳智能数据技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the embodiment of the present application is to provide a live comment analysis method, device, electronic equipment and storage m

Method used

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  • Live streaming comment analysis method and device, electronic equipment and storage medium
  • Live streaming comment analysis method and device, electronic equipment and storage medium
  • Live streaming comment analysis method and device, electronic equipment and storage medium

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Embodiment approach

[0065] In the first embodiment, the words filtered out by multiple words are determined as category labels according to the frequency or times of occurrence of the words, for example: performing statistics on multiple words in each sampling cluster class, and obtaining each word in multiple The frequency or number of occurrences in the word, the word with the highest frequency or the most number of occurrences in multiple words is determined as the category label; and so on, each sample cluster is processed in this way, and multiple categories can be obtained Label.

[0066] In the second embodiment, in the above cluster analysis process, each sampled cluster includes the cluster center (also known as the centroid) after clustering, and the word closest to the cluster center can be determined as the sampled cluster. Category label; Similarly, multiple category labels can be obtained by determining the word closest to the cluster center in each sampled cluster as the category l...

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Abstract

The invention provides a live streaming comment analysis method and device, electronic equipment and a storage medium. The method comprises the steps of: obtaining a bullet screen text and a comment text generated in a video live streaming process, so as to obtain comment data; performing word segmentation on the comment data to obtain a plurality of words; performing clustering analysis and category labeling on the words to obtain a plurality of category labels; and screening commodity names from the plurality of category labels to obtain a plurality of commodity names. In the implementationprocess, the comment data is subjected to word segmentation, clustering analysis and category labeling, so that the plurality of category labels can be obtained, and the commodity names in the commentdata are screened out from the category labels, so that the problem of low efficiency of obtaining commodity names expected to be subjected to next live streaming or later live streaming by a live streaming user is effectively improved.

Description

technical field [0001] The present application relates to the technical field of machine learning and computer data analysis, and specifically relates to a live comment analysis method, device, electronic equipment and storage medium. Background technique [0002] In the current live video broadcast process, live broadcast users will comment on the live broadcast merchants’ product tasting, product trial and product recommendation and other activities. After the live broadcast merchants communicate with the live broadcast users, they can learn the products that the live broadcast users want to live broadcast next time or in the future; Live broadcast merchants can also collect the comment data of live broadcast users during the live video broadcast after the live video broadcast is completed, and then manually observe and analyze the products that live broadcast users want to live broadcast next time or in the future. In practice, it is found that the efficiency of obtaining...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/216G06F40/289
CPCG06F16/35G06F40/216G06F40/289
Inventor 张月鹏李晓宇李明姜秋宇王志慧裴广超
Owner 北京神州泰岳智能数据技术有限公司
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