A topic modelling application for violence against the women through text mining techniques

This research was focused on a social problem that affects worldwide. Violence Against Women (VAW) and girls occurs in many forms with different levels of aggressiveness. There is a wide amount of data on the internet about real cases of VAW that can be gathered for further study. Many researchers have done studies on structured data sets which facilitates their manipulation and understanding. But in this work digital news (data source large non-structured text) was used.

These are the data used for the development of the investigation.This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.

本研究聚焦于一项在全球范围内造成广泛影响的社会问题。针对妇女及女童的暴力行为（Violence Against Women，VAW）以多种形式呈现，且暴力程度各不相同。互联网上留存有大量该类暴力行为的真实案例数据，可供后续研究使用。诸多研究者已针对结构化数据集开展相关研究，这类数据便于处理与解读。但本研究采用的数据源为数字新闻，即大规模非结构化文本。

本研究所使用的数据集详情如下：该数据集文件提取自我们的MongoDB数据库，包含针对妇女暴力行为的真实新闻报道，每条数据均标注了新闻发布日期、标题及正文内容。