面向网络评论的文本信息抽取方法研究

Research on the Method of Network Review Extraction

为对网络在线评论进行高效率的文本分析与提取,本文提出一种基于HtmlParser的文本抽取解析算法.首先通过语言与格式规则进行标签筛选,实现基于HtmlParser的网页文本数据抽取算法,然后采用Regex模式对抽取文本进行清洗去噪.最后通过实验,结合正确率与召回率等指标验证了算法的有效性.

In order to efficiently analyze and extract online reviews,this paper proposed a parsing algorithm of text extraction based on HtmlParser.First,we realized the algorithm through the language and format rules to filter tags.Secondly,we used the Regex model for text cleaning and denoising.Finally,we verified the validity of the algorithm by the experiment of combining the accuracy and the recall rate.