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Financial sentiment analysis : an NLP approach towards reputation management

Mini Dissertation (MIT (Big Data Science))--University of Pretoria, 2020.

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Other Authors: Marivate, Vukosi
Format: Thesis
Language:English
Published: University of Pretoria 2022
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access_status_str Open Access
author2 Marivate, Vukosi
author_browse Marivate, Vukosi
author_facet Marivate, Vukosi
collection Thesis
dc_rights_str_mv © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (MIT (Big Data Science))--University of Pretoria, 2020.
format Thesis
id oai:repository.up.ac.za:2263/83178
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:13.632Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/83178 Financial sentiment analysis : an NLP approach towards reputation management Marivate, Vukosi michelle.terblanche@gmail.com Terblanche, Michelle UCTD Financial sentiment analysis Natural language processing (NLP) Corporate reputation South Africa (SA) Share price Mini Dissertation (MIT (Big Data Science))--University of Pretoria, 2020. Sentiment analysis as a sub- eld of natural language processing has received increased attention in the past decade enabling organisations to more effectively manage their reputation through online media monitoring. Many drivers impact reputation, however, this thesis focuses only the aspect of financial performance and explores the gap with regards to financial sentiment analysis in a South African context. Results showed that pre-trained sentiment analysers are least effective for this task and that traditional lexicon-based and machine learning approaches are best suited to predict financial sentiment of news articles. The study contributed to updating an existing sentiment dictionary and developing a full pipeline to filter data for financial topics and predict sentiment. Using a binary logistic regression model and a binary XGBoost classifier on both headlines and article content produced accuracies of >85%. The predicted sentiments correlated quite well with share price and highlighted the potential use of sentiment as an indicator of financial performance. Model generalisation was less acceptable due to the limited amount of training data used. Future work includes expanding the data set to improve general usability and contribute to an open-source financial sentiment analyser for South African data. Computer Science MIT (Big Data Science) Unrestricted 2022-01-12T06:00:01Z 2022-01-12T06:00:01Z 2021/04/13 2020 Mini Dissertation * A2021 http://hdl.handle.net/2263/83178 en © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Financial sentiment analysis
Natural language processing (NLP)
Corporate reputation
South Africa (SA)
Share price
Financial sentiment analysis : an NLP approach towards reputation management
title Financial sentiment analysis : an NLP approach towards reputation management
title_full Financial sentiment analysis : an NLP approach towards reputation management
title_fullStr Financial sentiment analysis : an NLP approach towards reputation management
title_full_unstemmed Financial sentiment analysis : an NLP approach towards reputation management
title_short Financial sentiment analysis : an NLP approach towards reputation management
title_sort financial sentiment analysis an nlp approach towards reputation management
topic UCTD
Financial sentiment analysis
Natural language processing (NLP)
Corporate reputation
South Africa (SA)
Share price
url http://hdl.handle.net/2263/83178