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Festival sentiment analysis method based on naive Bayesian classification

A technology of Bayesian classification and sentiment analysis, applied in the field of sentiment analysis, can solve problems such as changes in the size of influence are not considered

Inactive Publication Date: 2020-01-24
NORTHEASTERN UNIV
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Problems solved by technology

[0004] At present, the sentiment classification of microblog texts mostly focuses on the evaluation and analysis of users and the public opinion analysis of the popularity of the event itself, and combines the neural network to predict related events, but the existing methods do not consider the influence of the event itself on the user. As a result, it is impossible to accurately guide user emotions based on the event itself

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  • Festival sentiment analysis method based on naive Bayesian classification
  • Festival sentiment analysis method based on naive Bayesian classification
  • Festival sentiment analysis method based on naive Bayesian classification

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Embodiment 1

[0045] Regarding the selection of festival data, we select the Weibo texts of traditional Chinese festivals such as the Dragon Boat Festival, Lantern Festival, Ching Ming Festival and Mid-Autumn Festival for analysis. In this process, according to the idea of ​​eliminating the influence of extreme values ​​in the censored mean theory, combined with the historical background and significance of Qingming Festival, the sentiment of this festival is mostly negative, so this festival is excluded from the scope of the study. Finally, the Dragon Boat Festival, Lantern Festival and Mid-Autumn Festival are selected as the research objects.

[0046] Acquisition and preprocessing of festival microblog data.

[0047] Call Python's Snow-NLP class library to perform sentiment analysis on the data.

[0048] The Snow-NLP class library supports Chinese natural language operations, including Chinese word segmentation, part-of-speech tagging, sentiment classification, text classification, keywo...

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Abstract

The invention provides a festival sentiment analysis method based on naive Bayesian classification. Based on a natural language processing technology, a microblog influence model is established, and weight distribution is performed on comments, forwarding and like numbers of microblogs to obtain an influence value. And then starting from the specific festival direction, the naive Bayesian classifier is utilized to classify the oriented microblog data, so that the essential factors influencing the festival emotion acquisition of the user can be explored. And the extraction of the related factors also provides a theoretical basis for public opinion analysis and control and commercial marketing development.

Description

technical field [0001] The invention relates to the technical field of sentiment analysis, in particular to a holiday sentiment analysis method based on naive Bayesian classification. Background technique [0002] With the development of Internet technology, people are more and more exposed to different types of cultural forms. Cultural resources are being exchanged and integrated worldwide through multi-level input and output. However, in recent years, people have largely ignored the traditional culture of our country, and more and more Chinese people advocate western festivals and foreign cultures more. Behind this trend, the promotion of traditional culture in our country is being severely impacted, which has also caused a sense of rapid loss of traditional culture. The effect of aimless propaganda is not very significant. [0003] The current sentiment analysis methods can be divided into methods based on sentiment lexicon and methods based on machine learning. The f...

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Application Information

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IPC IPC(8): G06F16/35G06F16/953G06K9/62
CPCG06F16/35G06F16/953G06F18/24155
Inventor 宋禹幡胡建路原慧琳
Owner NORTHEASTERN UNIV
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