Date of Award

2015

Document Type

Dissertation/Thesis

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

McGovern, Warren

Abstract

In this thesis I will be using natural language processing techniques, particularly text classification and language modeling with Naïve Bayes, to categorize data from social networks such as Facebook, Twitter, and Instagram in order to optimize the user experience. The categorical classifications will serve as meaningful events that may occur in people’s lives so that the user may essentially filter posts for important content such as anniversaries, birthdays, job promotions, or relocation of friends in an application setting. I will apply the algorithm using the Java programming language and the Eclipse Integrated Development Environment.

Comments

Includes bibliography.

Extent

53 p.

Identifier

FA00013653

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