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Video and bullet screen combined emotion analysis and visualization method

A sentiment analysis and combination technology, applied in the fields of natural language processing and image processing, can solve problems such as complex and difficult symbols

Active Publication Date: 2019-07-16
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the problems of various content structures and complex symbols of network video bullet chatting, the present invention also proposes a standardized processing method for network video bullet chatting

Method used

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  • Video and bullet screen combined emotion analysis and visualization method
  • Video and bullet screen combined emotion analysis and visualization method
  • Video and bullet screen combined emotion analysis and visualization method

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Embodiment Construction

[0040] specific implementation

[0041]The specific implementation method is described below in conjunction with the accompanying drawings and examples. The analysis object is a large-scale barrage video website in China.

[0042] Step 1. Enter the homepage of the website, obtain the URL of each topic section, use BeautifulSoup to parse the website code, obtain the video file, the text content of the bullet chat and the sending time of the bullet chat, save them locally, and store the data to be analyzed and the data for training separately . For video source files, use video editing software to remove audio files and keep only video data. Use OpenCV to analyze the video frame by frame, extract key frames according to the extraction density of 5 frames per second, sort them according to the time sequence of key frames, and save them as a picture sequence.

[0043] The original data format of a barrage sample is as follows:

[0044] p="218.49300,1,25,10066431,1554113570,0,93...

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Abstract

The invention provides a video and bullet screen combined emotion analysis and visualization method, and belongs to the field of natural language processing and image processing. The method comprisesthe following steps: crawling videos and bullet screen data by using crawlers; preprocessing the crawled data; training a faster R-CNN model, identifying an object and marking an emotion value, then matching emotion words, degree adverb, emoji and negative words, calculating a bullet screen emotion value, and finally calculates a relation trend graph of an emotion value (S (t))-time (t) by combining the emotion value and the bullet screen emotion value of the video object. The method is suitable for network video bullet screens of various themes, and can be used for analyzing content emotion orientations with different fine granularities integrally or locally to obtain an emotion curve graph of the whole video. For the problems that the network video bullet screen content is diverse in structure, complex in symbol and difficult to process, the invention further provides a network video bullet screen standardized processing method.

Description

technical field [0001] The invention belongs to the fields of natural language processing and image processing, and in particular relates to an emotion analysis and visualization method combining video and barrage. This method can effectively collect, process and analyze the comment information of network video bullet chatting, realize the emotional analysis of bullet chat comment information, and display the analysis results through visual processing, so as to be used as a tool for video quality evaluation, commercial cooperation promotion, and content personality. Recommended references. Background technique [0002] The term "barrage" originated from a military term. It originally meant that the concentrated shells were fired too densely like a curtain, so it was called barrage. Barrage videos cater to the ACG (animation, comics, and games) culture, and also meet the needs of users for interaction, entertainment, and social interaction. But now, barrage is not exclusive...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F16/951H04N21/488
CPCG06F16/951H04N21/4884G06F40/205Y02D10/00
Inventor 王宇晨王晨妮张超刘蓝静孙钜晖宋威
Owner JIANGNAN UNIV
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