Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
This work aims at exploring data analysis techniques applied to the social media platform Reddit, highlighting the execution of an Exploratory Data Analysis (EDA) to identify trends and patterns of interaction among users. For sentiment analysis of the comments, the VADER model ("Valence Aware...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal de Pernambuco (UFPE)
2024-12-01
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| Series: | Socioeconomic Analytics |
| Subjects: | |
| Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265074 |
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| author | Denilson de Oliveira Silva Richard Matheus Avelino da Silva Patrícia Virgínia de Santana Lima Jéssica Cristina Pereira Batista Sílvio Fernando Alves Xavier Júnior |
| author_facet | Denilson de Oliveira Silva Richard Matheus Avelino da Silva Patrícia Virgínia de Santana Lima Jéssica Cristina Pereira Batista Sílvio Fernando Alves Xavier Júnior |
| author_sort | Denilson de Oliveira Silva |
| collection | DOAJ |
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This work aims at exploring data analysis techniques applied to the social media platform Reddit, highlighting the execution of an Exploratory Data Analysis (EDA) to identify trends and patterns of interaction among users. For sentiment analysis of the comments, the VADER model ("Valence Aware Dictionary and Sentiment Reasoner") is used, and topic modeling is performed with BERTopic ("Bidirectional Encoder Representations from Transformers for Topic Modeling"). The goal is to compare the accuracy and effectiveness of the models in classifying emotions and themes expressed in the comments. The comparison of the models allows identifying which approach yields the most accurate results, which is aligned with the context of discussions on Reddit, providing valuable insights into user behavior and preferences.
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| format | Article |
| id | doaj-art-d7834608058e4a1db25c14034b7002ba |
| institution | Kabale University |
| issn | 2965-4661 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universidade Federal de Pernambuco (UFPE) |
| record_format | Article |
| series | Socioeconomic Analytics |
| spelling | doaj-art-d7834608058e4a1db25c14034b7002ba2025-02-07T17:46:07ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612024-12-012110.51359/2965-4661.2024.265074Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopicDenilson de Oliveira Silva0https://orcid.org/0009-0000-4031-7772Richard Matheus Avelino da Silva1https://orcid.org/0009-0009-9718-9439Patrícia Virgínia de Santana Lima2https://orcid.org/0009-0005-4746-830XJéssica Cristina Pereira Batista3https://orcid.org/0009-0005-5026-0155Sílvio Fernando Alves Xavier Júnior4https://orcid.org/0000-0002-4832-0711State University of ParaíbaState University of ParaíbaState University of ParaíbaState University of ParaíbaState University of Paraíba This work aims at exploring data analysis techniques applied to the social media platform Reddit, highlighting the execution of an Exploratory Data Analysis (EDA) to identify trends and patterns of interaction among users. For sentiment analysis of the comments, the VADER model ("Valence Aware Dictionary and Sentiment Reasoner") is used, and topic modeling is performed with BERTopic ("Bidirectional Encoder Representations from Transformers for Topic Modeling"). The goal is to compare the accuracy and effectiveness of the models in classifying emotions and themes expressed in the comments. The comparison of the models allows identifying which approach yields the most accurate results, which is aligned with the context of discussions on Reddit, providing valuable insights into user behavior and preferences. https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265074Sentiment Analysistext miningExploratory Data AnalysisReddittopic modelling |
| spellingShingle | Denilson de Oliveira Silva Richard Matheus Avelino da Silva Patrícia Virgínia de Santana Lima Jéssica Cristina Pereira Batista Sílvio Fernando Alves Xavier Júnior Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic Socioeconomic Analytics Sentiment Analysis text mining Exploratory Data Analysis topic modelling |
| title | Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic |
| title_full | Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic |
| title_fullStr | Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic |
| title_full_unstemmed | Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic |
| title_short | Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic |
| title_sort | reddit comment analysis sentiment prediction and topic modeling using vader and bertopic |
| topic | Sentiment Analysis text mining Exploratory Data Analysis topic modelling |
| url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265074 |
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