一种融入公众情感投入分析的微博话题发现与细分方法

doi:10.11959/j.issn.1000-0801.2016158

Abstract

Abstract:

To improve the discovery efficiency and quality of micro-blog topic,a method of rapid discovery and segmentation in micro-blog topics based on public emotional engagement analysis was proposed,it would prompt evolution of the topics,then generate new topics and gain emotional change trend.Firstly,common emotional words were mined from corpus to build emotional thesaurus based on emotional word dictionary and TFDF.Then,emotional text was extracted quickly and sigmoid function was utilized to detect the intensive period of emotional engagement,ensuring the validity of topic mining.Besides,an improved adaptive FCM was used to cluster and discover topics.The experimental results show that this method can enhance the efficiency and quality of topic discovery in mobile environment.

Key words: emotional word, micro-blog, topic discovery, NE-FCM

Chunhua JU,Fuguang BAO,Junyan DAI. Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis[J]. Telecommunications Science, 2016, 32(7): 97-105.

Figures/Tables 11

References 15

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情感词字数	1	2	3	4	5	6
比例	2.7%	49.68%	9.67%	31.75%	3.7%	0.8%

日期	情感文本比例	总数
11月1日	77.81%	1 798
11月2日	85.03%	1 456
11月3日	80.71%	1 068
11月4日	66.86%	2 718
11月5日	80.86%	1 588
11月6日	74.20%	1 241
11月7日	79.82%	1 070
11月8日	84.74%	1 134
11月9日	81.37%	1 737
11月10日	91.57%	997
11月11日	83.97%	2 070
11月12日	58.23%	5 562
11月13日	67.86%	5 858
11月14日	67.00%	4 453
11月15日	82.38%	9 130
11月16日	74.71%	12 448
11月17日	79.67%	8 732
11月18日	80.85%	8 511
11月19日	84.76%	9 087
11月20日	79.46%	7 852
11月21日	85.64%	5 646
平均	78.45%

比较项	Singlepass算法	FCM算法	NE-FCM算法
最短时间/s	61	82	52
最长时间/s	213	361	287
平均时间/s	96	193	103

比较项	Singlepass算法	FCM算法	NE-FCM算法
最高准确率	90.3%	86.3%	91.7%
平均准确率	62.7%	73.8%	84.8%

话题	情感词Top6
“国家放开单独二胎政策”	改革、完善、决定、压力、关注、重大
“马伊琍文章怀二胎”	关注、恋爱、阳光、娱乐、支持、如愿以偿
“山东长岛放开二胎人口负增长”	免费、烦恼、创新、大胆、意想不到、贵

Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis

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