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 |
| Published: |
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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| Summary: | 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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| ISSN: | 2965-4661 |