Chord Reviews: A Python Package for Analyzing Online Reviews

Bibliographic Details
Main Author: Funes, Félix José
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/174772
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and Analytics
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network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Chord Reviews: A Python Package for Analyzing Online ReviewsData visualizationText analyticsCustomer reviewsDesign science researchChord diagramsSDG 8 - Decent work and economic growthDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and AnalyticsIn the contemporary digital landscape, User Generated Content (UGC), particularly online customer reviews, serves as a crucial source of feedback for businesses by offering insights into customer sentiments and preferences. However, these reviews' unstructured nature and sheer volume present significant challenges in extracting actionable insights. This study addresses this challenge by proposing an innovative approach that combines data visualization and text mining techniques to optimize the discovery of insights from online reviews. Inscribed in the design science research paradigm, this study builds upon previous research to extend an existing chord visualization by integrating it with natural language processing (NLP) techniques in the form of a Python package. Through preprocessing and sentiment analysis, unstructured text is transformed into structured data, facilitating the identification of prevalent themes, sentiment analysis, and the cooccurrence of associations between key terms. The resultant artifact, the Chord Reviews package, demonstrates robust functionality, completeness, consistency, accuracy, performance, reliability, and usability across diverse domains and datasets. This package offers businesses a versatile tool for textual analysis, enabling informed decision-making to enhance customer satisfaction, product development, or market competitiveness. This package is also very valuable for academics who study customer reviews in areas such as marketing or business, as it supports more indepth and faster analyses.António, Nuno Miguel da ConceiçãoRUNFunes, Félix José2024-10-292026-10-29T00:00:00Z2024-10-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/174772TID:203778898enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-13T01:41:56Zoai:run.unl.pt:10362/174772Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:12:59.528972Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Chord Reviews: A Python Package for Analyzing Online Reviews
title Chord Reviews: A Python Package for Analyzing Online Reviews
spellingShingle Chord Reviews: A Python Package for Analyzing Online Reviews
Funes, Félix José
Data visualization
Text analytics
Customer reviews
Design science research
Chord diagrams
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Chord Reviews: A Python Package for Analyzing Online Reviews
title_full Chord Reviews: A Python Package for Analyzing Online Reviews
title_fullStr Chord Reviews: A Python Package for Analyzing Online Reviews
title_full_unstemmed Chord Reviews: A Python Package for Analyzing Online Reviews
title_sort Chord Reviews: A Python Package for Analyzing Online Reviews
author Funes, Félix José
author_facet Funes, Félix José
author_role author
dc.contributor.none.fl_str_mv António, Nuno Miguel da Conceição
RUN
dc.contributor.author.fl_str_mv Funes, Félix José
dc.subject.por.fl_str_mv Data visualization
Text analytics
Customer reviews
Design science research
Chord diagrams
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Data visualization
Text analytics
Customer reviews
Design science research
Chord diagrams
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and Analytics
publishDate 2024
dc.date.none.fl_str_mv 2024-10-29
2024-10-29T00:00:00Z
2026-10-29T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/174772
TID:203778898
url http://hdl.handle.net/10362/174772
identifier_str_mv TID:203778898
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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