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 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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Publication Details

Journal
Socioeconomic Analytics
Published
2024-12-20
DOI
https://doi.org/10.51359/2965-4661.2024.265074
Citations
2
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.69
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article

Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic

Sílvio Fernando Alves Xavier Júnior, Richard Matheus Avelino da Silva, Denilson Silva, J.E. Batista et al.
2 citations
Socioeconomic Analytics
Sentiment Analysis and Opinion Mining
0.69
article

Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic

Sílvio Fernando Alves Xavier Júnior, Richard Matheus Avelino da Silva, Denilson Silva, J.E. Batista, P. F. Lima
article en
2 citations

Abstract

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.

Socioeconomic AnalyticsVol. 2(1)
Universidade Estadual da Paraíba (BR)
Quality Education
Openalex Percentile: Top 22%
Sentiment Analysis and Opinion Mining
0.69
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Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic — Sílvio Fernando Alves Xavier Júnior, Richard Matheus Avelino da Silva, et al. · Socioeconomic Analytics (2024) | TGRS Research Map | TGRS