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计算机系统应用英文版:2017,26(2):25-29
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基于中文文本分析的微博情感地图的制作
(武汉大学, 武汉 430079)
Approach to Make Mood Maps Based on Sentiment Analysis of Chinese Micro-Blog
(Wuhan University, Wuhan 430079, China)
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Received:May 17, 2016    Revised:June 20, 2016
中文摘要: 自web进入2.0时代以来,互联网社交信息爆炸式地融入了人民生活,对海量社交网络信息的分析成为文本分析领域的一个重要研究方向.本文通过整理情感词典,制定语义规则,分析评测中文微博的情感色彩并与GIS空间分析方法相结合绘制出了情感地图.试图以客观的评价手段,对主观情绪进行科学计量化描述,并以地图为载体进行直观表达.论文将微博情感分析结果作为公民幸福指数的评价参考,同时,将地理信息科学与传统的情感分析相结合制作出情感地图,能够为国民幸福指数宏观评价及其空间分布特征提供更直观的展示和参考.
中文关键词: 微博  情感分析  地图
Abstract:Since the time of web2.0, social network information of internet has increasingly integrated into people's life. The analysis of the vast social network information has become an important research direction in the field of text analysis. In this article, through establishing emotional dictionary and semantic rules, the emotional colors of Chinese micro-blog are analyzed and calculated. Then the emotion map combined with GIS spatial analysis method gives a scientific and quantitative description of subjective emotion by means of objective evaluation and the emotion revealed on the map. This article which takes the result of micro-blog sentiment analysis as evaluation index to evaluate the Gross National Happiness, analyzes the meaning of evaluating the happiness with mood map created on the approach which combines the GIS with the traditional sentiment analysis.
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基金项目:国家自然科学基金(41471323)
引用文本:
郭义超,樊红.基于中文文本分析的微博情感地图的制作.计算机系统应用,2017,26(2):25-29
GUO Yi-Chao,FAN Hong.Approach to Make Mood Maps Based on Sentiment Analysis of Chinese Micro-Blog.COMPUTER SYSTEMS APPLICATIONS,2017,26(2):25-29