Database Reference
In-Depth Information
new JsonStreamParser(new FileReader(filename));
while (parser.hasNext()) {
elem = parser.next().getAsJsonObject();
text = elem.get(
"text"
).getAsString();
Classification c = nbsc.classify(text);
System.out.println(c +
"->"
+ text);
}
...
}
}
Source: Chapter4/classification/bayes/TestNBC.java
4.3
Further Reading
For a detailed introduction to the field of network analysis, we refer the reader to
[
3
,
5
,
7
].
Another introduction to LDA by Edwin Chen, a former engineer at Twitter, can
be found on his blog [
2
]. For a deeper review of LDA, the reader can consult [
1
,
4
].
Many approaches have been taken towards sentiment analysis. For an overview
of the field, see [
6
].
References
1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation.
The Journal of Machine
Learning Research
, 3:993-1022, 2003.
2. E.
Chen.
Introduction
to
Latent
Dirichlet
Allocation.
introduction-to-latent-dirichlet-allocation/
,
August 2011.
3. M. Hennig, U. Brandes, J. Pfeffer, and I. Mergel.
Studying Social Networks: A Guide to
Empirical Research
. Campus Verlag, 2012.
4. K. Murphy.
Machine Learning: A Probabilistic Perspective
. Adaptive computation and machine
learning series. MIT Press, 2012.
5. M. Newman.
Networks: An Introduction
. OUP Oxford, 2009.
6. B. Pang and L. Lee. Opinion Mining and Sentiment Analysis.
Found. Trends Inf. Retr.
,
2(1-2):1-135, Jan. 2008.
7. R. Zafarani, M.-A. Abbasi, and H. Liu.
Social Media Mining: An Introduction
. Cambridge
University Press, Forthcoming.
