Paper Info
Title
Twitter stream analysis in Spanish
Abstract
Social networks have opened to companies and politicians' new ways to understand what the clients and citizens are looking for. That is, companies need to understand what is happening in the market in order to be competitive. And politicians need to better understand what the people are worried about if they want to comply with the wishes of their voters. Until now, a significant amount of resources were dedicated to collect a small set of consumers or citizens opinions to conduct focus groups and surveys in pursuit of consumers or social insights. With the rise of social networks, things have changed. Companies and politicians now have the ability to gather more data than ever before on a large number of users in near real time and at a much lower cost. In this paper we present the architecture we are building on top of Twitter in order to extract and analyze the mood of the users against some events. In particular, we have analyzed the impact that the "Boston Marathon" event produced in the public opinion. During the observed time frame we have observed little social iteration and a high number of retweets in the Spanish-speaker twitter community.
Year
DOI
Venue
2013
10.1145/2479787.2479819
WIMS
Keywords
Field
DocType
social network,high number,boston marathon,near real time,social insight,social iteration,twitter stream analysis,large number,citizens opinion,observed time frame,spanish-speaker twitter community,social networks,sentiment analysis
Data mining,Architecture,Internet privacy,Social network,Time frame,Computer science,Sentiment analysis,Happening,Public opinion,Focus group
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
María D. R-Moreno19715.22
Álvaro Cuesta210.82
David F. Barrero312017.17