AN APPLICATION OF PEOPLE'S SENTIMENT FROM SOCIAL MEDIA TO SMART CITIES

被引：14
|
作者：
Estevez-Ortiz, Francisco-Jose [1 ]
Garcia-Jimenez, Antonio [2 ]
Gloesekoetter, Peter [1 ]
机构：
[1] Fachhsch Munster, Raum D-223,Stegerwaldstr 39, D-48565 Steinfurt, Germany
[2] Univ Rey Juan Carlos, Fac Ciencias Comunicac, Camino Molino S-N, Fuenlabrada 28943, Madrid, Spain
来源：
PROFESIONAL DE LA INFORMACION | 2016年 / 25卷 / 06期
关键词：
Social media; Smart cities; Sentiment analysis; Public opinion; Twitter;
D O I：
10.3145/epi.2016.nov.02
中图分类号：
G2 [信息与知识传播];
学科分类号：
05 ; 0503 ;
摘要：
This paper presents a method for analyzing social media and digital governance in smart cities. This research, after selecting a group of issues related to people's concerns about daily life in cities, makes use of Afinn lexicon as dictionary with sentiment score in order to recognize and measure the strength of individual words. The experiment retrieves different tweets classified by hashtags in a database and calculates an average sentiment. It involves some statistical processes for the recognition of the topics' sentiment: the calculation of the weighted average, the standard deviation, and the distribution among -5 to +5, based on the score range used by the lexicon. Finally, human evaluation is used to compare results from the automatic system.
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页码：851 / 858
页数：8
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