An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods

TL;DR

This paper analyzes public opinion on fertility policy proposals in China using multi-grained topic analysis methods, revealing social, ethical, and legal concerns with predominantly negative sentiments, and offers a reference for policy decision-making.

Contribution

It introduces a multi-granularity semantic analysis approach combining co-occurrence, topic, and sentiment analysis to study public opinion on fertility policies.

Findings

Discussion involves individual, society, and state levels.

People's sentiment is mostly negative.

Proposes eight policy suggestions.

Abstract

Fertility issues are closely related to population security, in 60 years China's population for the first time in a negative growth trend, the change of fertility policy is of great concern to the community. 2023 "two sessions" proposal "suggests that the country in the form of legislation, the birth of the registration of the cancellation of the marriage restriction" This topic was once a hot topic on the Internet, and "unbundling" the relationship between birth registration and marriage has become the focus of social debate. In this paper, we adopt co-occurrence semantic analysis, topic analysis and sentiment analysis to conduct multi-granularity semantic analysis of microblog comments. It is found that the discussion on the proposal of "removing marriage restrictions from birth registration" involves the individual, society and the state at three dimensions, and is detailed into social issues such as personal behaviour, social ethics and law, and national policy, with people's sentiment inclined to be negative in most of the topics. Based on this, eight proposals were made to provide a reference for governmental decision making and to form a reference method for researching public opinion on political issues.