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Feature Selection Techniques for Effective Model Building and Estimation on Twitter Data to Understand the Political Scenario in Latvia with Supporting Visualizations


Abstract In supervised learning, machine learning techniques can be applied to learn a model on

a small set of labeled documents which can be used to classify a larger set of unknown

documents. Machine learning techniques can be used to analyze a political scenario

in a given society. A lot of research has been going on in this field to understand

the interactions of various people in the society in response to actions taken by their

organizations.

This paper talks about understanding the Russian influence on people in Latvia.

This is done by building an eeffective model learnt on initial set of documents

containing a combination of official party web-pages, important political leaders' social

networking sites. Since twitter is a micro... (more)
Created Date 2016
Contributor Bollapragada, Lakshmi Gayatri Niharika (Author) / Davulcu, Hasan (Advisor) / Sen, Arunabha (Committee member) / Hsiao, Ihan (Committee member) / Arizona State University (Publisher)
Subject Computer science
Type Masters Thesis
Extent 63 pages
Language English
Note Masters Thesis Computer Science 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis