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Educational inequities in New York city by thematic analysis of school website reviews
- 1 Department of Statistics and Data Science (DSDS), BNU-HKBU United International College, Zhuhai, China
* Author to whom correspondence should be addressed.
Abstract
With the widening gap between the rich and the poor, social inequality has emerged in all aspects. The issue of inequity in education needs more attention, because it is related to the development of national quality. There have been many studies on the use of online housing advertisements for feature extraction and semantic analysis, and the use of machine learning methods to construct models to predict socioeconomic status. This study considers the influence factors of education, and conducts Bayesian classification and LDA model analysis on all reviews of New York schools on the largest school rating and recording website in the United States to explore the primary factors associated with educational imbalance in a society. Results show that various requirements for teachers, such as teaching ability and student management ability, were the most important factors that appeared in the reviews. Gender issues are also very important in education. In terms of the overall parts of speech, the emotions are all positive, indicating that the current level of education can satisfy parents as a whole. However, there are still many potential problems of educational inequality that need to be discovered and solved, and the methods of inquiry need to be expanded and upgraded.
Keywords
Bayesian Classification, LDA Model, Influence Factors, Educational Inequity, New York.
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Cite this article
Deng,S. (2023). Educational inequities in New York city by thematic analysis of school website reviews. Applied and Computational Engineering,6,30-38.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
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