Food and medicine public opinion analysis method

A public opinion analysis and sentiment value technology, applied in the field of public opinion analysis, can solve the problems of inability to accurately grasp user evaluation tendencies and low accuracy

Active Publication Date: 2021-09-10
重庆航天信息有限公司 +1
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AI Technical Summary

Problems solved by technology

[0003] With the development of network technology and computer technology, users' evaluation of food or medicine is often stated through network methods such as Weibo and Post Bar. In the prior art, the analysis of network texts about food and medicine publi

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  • Food and medicine public opinion analysis method
  • Food and medicine public opinion analysis method
  • Food and medicine public opinion analysis method

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0042] A method for analyzing public opinion on food and medicine provided by the invention comprises the following steps:

[0043] S1. Collecting network texts and preprocessing the network texts;

[0044] S2. Sentence processing is performed on the preprocessed network text, and repeated comment sentences in the network text are removed;

[0045] S3. Carry out word segmentation processing for each comment sentence after sentence segmentation processing, and extract the food and medicine feature words in the text; calculate the similarity between food and medicine feature words, if any two similarities are less than the set threshold, then remove them a characteristic word;

[0046] S4. Build a classification dictionary, and divide the food and medicine feature words in each comment sentence into corresponding dictionary categories;

[0047] S5. Build an emotional...

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Abstract

The invention provides a food and medicine public opinion analysis method. The method comprises the following steps: collecting a web text, and preprocessing the web text; performing sentence segmentation processing on the preprocessed web text, and removing repeated comment sentences in the web text; performing word segmentation processing on each comment sentence after sentence segmentation processing, and extracting food and medicine feature words in the text; calculating similarities between the food and medicine feature words, and if any two similarities are smaller than a set threshold value, removing one feature word; constructing a classification dictionary, and dividing the food and medicine feature words in each comment sentence into a corresponding dictionary category; constructing an emotion dictionary, and recognizing food and medicine feature words, emotion words, degree words and negative words from the comment sentences; determining a basic sentiment value of the sentiment word, a weight value of the degree word and a weight value of the negative word; according to the method, the food and medicine emotional tendency value calculation model is constructed, and the public opinion tendency of the collected web text is determined according to the emotional tendency value calculation model, so that the evaluation published by the user on the network can be accurately processed, and the accurate emotional tendency value is obtained; therefore, an accurate public opinion reference basis can be provided for food and medicine manufacturers and quality supervision departments, and accurate data support is provided for quality feedback and market supervision measure formulation.

Description

technical field [0001] The invention relates to a public opinion analysis method, in particular to a food and medicine public opinion analysis method. Background technique [0002] Food and medicine are two major themes related to people's livelihood. There are countless types of food and medicine on the market. However, users' evaluation of a certain brand of food or medicine after use is related to the subsequent evaluation of food and medicine. The implementation of behaviors such as quality feedback and market supervision. [0003] With the development of network technology and computer technology, users' evaluation of food or medicine is often stated through network methods such as Weibo and Post Bar. In the prior art, the analysis of network texts about food and medicine public opinion is based on sentiment analysis. That is, through the processing of network texts and the calculation of sentiment values, etc., however, the existing sentiment analysis methods have low...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F16/33G06F16/36G06F16/953G06N3/04
CPCG06F40/30G06F16/3344G06F16/374G06F16/953G06N3/044
Inventor 莫军杨小珊黄先亮谭明天詹洪胜许晶冰毛庆谭敏高中华王自强唐运涛
Owner 重庆航天信息有限公司
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