Signed Network Construction and Sentiment Analysis Enhancement in microblogging Social Networks

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Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu | Master's thesis
Date
2019-06-17
Department
Major/Subject
Computer Science
Mcode
SCI3042
Degree programme
Master’s Programme in Computer, Communication and Information Sciences
Language
en
Pages
79 + 4
Series
Abstract
The aim of this work is to build a signed network from Twitter data using sentiment analysis, analyze that network, and enhance the performance of the sentiment analysis using information extracted from it. To construct the network the interactions or tweets with mentions addressing other users will be analyzed using a variant of traditional sentiment analysis known as targeted sentiment analysis. A signed network will be built between users who post a tweet and those users who are mentioned in the tweet, predicting the relationship between such users using natural language proccessing on the tweet's text. After the network is built, it will be shown that using networks similar to it, the performance of the sentiment analysis can be significantly improved. Using different approaches, the accuracy of the initial sentiment analysis model is improved by 10%.
Description
Supervisor
Gionis, Aristides
Thesis advisor
Ordozgoiti Rubio , Bruno
Keywords
social network analysis, signed network, targeted sentiment analysis, graph theory, Twitter
Other note
Citation