TY  - JOUR
T1  - Reddit Comment Analysis : Sentiment Prediction and Topic Modeling using VADER and BERTopic
A1  - Silva, Denilson de Oliveira
A1  - Silva, Richard Matheus Avelino da
A1  - Lima, Patrícia Virgínia de Santana
A1  - Batista, Jéssica Cristina Pereira
A1  - Xavier Junior, Sílvio Fernando Alves
Y1  - 2024///
KW  - Sentiment Analysis
KW  - Text Mining
KW  - Topic Modelling
KW  - Exploratory Data Analysis
KW  - Reddit
KW  - VADER
KW  - BERTopic
JF  - Socioeconomic Analytics
VL  - 2
IS  - 1
SP  - 130
EP  - 136
DO  - https://doi.org/10.51359/2965-4661.2024.265074
UR  - https://doi.org/10.51359/2965-4661.2024.265074
N2  - 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.
ER  -