Signed Network Construction and Sentiment Analysis Enhancement in microblogging Social Networks

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URL

Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Authors

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

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201906234114

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[dipl] Perustieteiden korkeakoulu / SCI