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Microwave ovens: Result and Z-par value.

Microwave ovens: Result and Z-par value.

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The result of Granger causality test.
Hair dryers: Result and Z-par value.
Microwave ovens: Result and Z-par value.
Research on Text Emotion Analysis and Product Performance based on NLP and VAR Model
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  • Jan 2021
Customers’ evaluations, in terms of text or ratings, are important sources of information for online shops to decide products and marketing strategies. In this paper, we discuss methods to conclude and predict merchants’ performance and characteristics of customers’ behavior of target products based on Amazon dataset. First, we design a Natural Lan...
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... result of Table 7 shows that for microwave ovens, review rating is not but review number is a Granger cause of review rating, thus review number may be the real cause of review rating. ※, ※※ and ※※※means significant at 10%, 5% and 1% level. ...

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... The VAR model analyzes the dynamic interrelationships that exist between different variables in different periods, so the lag period has a key role in the model, which has different effects on the dynamic interrelationships in different periods [18][19]. Figure 2 shows the analysis process of the VAR model. Firstly, the dynamic relationship of the variables between labor education and civic education is analyzed, and the main thematic features are extracted through the LDA algorithm to speculate on the document. ...
Exploration of Labor Education into Ideological and Political Education Based on the VAR Model
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Full-text available
  • Dec 2023
This paper is based on the VAR model, a regression analysis of the correlation between labor education and ideological and political education. Firstly, the LDA algorithm is used to speculate about the document to obtain the probability distribution of the subject, and this is used as the current subject feature. Then use the gray correlation algorithm to measure the distribution characteristics of each different indicator from the object dimension, and measure the correlation size and positive and negative by extracting the relative difference between indicators. Finally, the TF-IDF algorithm is used to determine the word weights, and text clustering is invoked to merge texts with the same theme. After the teaching of the VAR model, the significance of the learning motivation of the students in the experimental group is 0.009, the passing rate of the final grades is around 76%, and the significance of the dimensions of the learning effect is less than 0.05. It shows that the integration of labor education with ideological and political education can lead students to strengthen their concepts of labor so as to realize students’ comprehensive development.
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