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Sentiment Analysis of Twitter: Using Knowledge based and Machine Learning Techniques

Hennessy, Anne (2014) Sentiment Analysis of Twitter: Using Knowledge based and Machine Learning Techniques. Diploma thesis, Dublin, National College of Ireland.

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Abstract

Twitter is a “micro-blogging” social networking website that has a large and rapidly growing user base. The aim of this paper is to collect tweets using a Twitter API on keywords #ConchitaWurst and #Eurovision2014.This paper will determine the sentiment orientation of the tweets. The classification model which this project will develop will determine whether the tweet status updates (which cannot exceed 140 characters) reflects positive opinion or negative opinion on the behalf of the person who tweeted. This paper will use a hybrid of knowledge based sentiment analysis methodologies such as which have been more traditionally used, and those of machine learning methodologies which used a more intuitive approach to sentiment such as Naïve Bayes. The results of these two methodologies indicate an overwhelmingly positive response towards Conchita Wurst.

Item Type: Thesis (Diploma)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Higher Diploma in Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 12 Dec 2014 15:07
Last Modified: 12 Dec 2014 15:07
URI: http://trap.ncirl.ie/id/eprint/1842

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