基于Python的简单文本情感分析

Sentiment Analysis of Simple Text Based on Python

以python语言在情感分析中的应用为基础,提出一种在线简单文本情感分析方案,并以豆瓣影评为例,利用Python技术完成了一个完整的情感分析过程,其中选用了异步与多线程Python爬虫技术进行文本数据的获取工作,取得文本的情感倾向,根据感情分析的结果绘制区间分布图,且进一步运用词云技术完成了词频分析,验证了Python语言在情感分析方面的适用性和便捷性;展示极性和词频情感分析的实验结果,并与其它技术进行对比,总结与分析该技术的优势.

Through the application of Python language in sentiment analysis, an online simple text sentiment analysis scheme is proposed. Taking Douban Movie Review as an example, a complete sentiment analysis process is completed by using Python technology, in which asynchronous and multi-threaded Python crawler technology is used to obtain the text data and the emotion of the text is obtained. Tendency, according to the results of sentiment analysis, draw the interval distribution map, and further use the word cloud technology to complete word frequency analysis. Thus validates the applicability and convenience of the Python language in the direction of sentiment analysis. The experimental results of polarity and word frequency affective analysis are presented and compared with other techniques. The advantages of this technique are summarized and analyzed.