@inbook{f8ca1c77e7994101911c8cd1f6161747,
title = "Analyzing twitter data",
abstract = "So far we have discussed the collection and management of a large set of Tweets. It is time to put these Tweets to work to gain information about the data we have collected. This chapter focuses on two key aspects of Twitter data for data analysis: networks and text.",
keywords = "Eigenvector centrality, Latent dirichlet allocation, Network construction, Sentiment analysis, Topic modeling",
author = "Shamanth Kumar and Fred Morstatter and Huan Liu",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2014.",
year = "2014",
doi = "10.1007/978-1-4614-9372-3_4",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
number = "9781461493716",
pages = "35--48",
booktitle = "SpringerBriefs in Computer Science",
edition = "9781461493716",
}