A Framework for Massive Twitter Data Extraction and Analysis

Malaysian Journal of Computer Science

ÁlvaroCuesta¹  David F.Barrero¹  María D. R-Moreno¹ 

关键词: Twitter analysis;    frameworks;    sentiment analysis in Spanish;    data extraction;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

Social networks surfaced as communication and socialization tools. The vast amount of data these networksgenerate has led to a growing need of automatic knowledge extraction. The popular nature of these services isideal for trends discovery. In particular, Twitter offers an open environment where people all around the worldshare information and opinions, emerging as a real-time repository of knowledge that can be exploited byresearchers and applications. We propose an open framework to automatically collect and analyze data fromTwitter’s public streams. This is a customizable and extensible framework, so researchers can use it to test newtechniques. The framework is complemented with a language-agnostic sentiment analysis module, whichprovides a set of tools to perform sentiment analysis of the collected tweets. The capabilities of this platform areillustrated with two study cases in Spanish, one related to a high impact event (the Boston Terror Attack), andanother one related to regular political activity on Twitter.

【 授权许可】

Unknown