Sentiment Analysis and Topic Modelling on Tweets about BRI

This Jupyter Notebook contains code and analysis for sentiment and other metrics related to tweets about BRI Bank Indonesia. The dataset is from tweets of @BANKBRI_ID collected in December 2022, scraped using snscrape.

Introduction

The purpose of this analysis is to gain insights into the sentiment of tweets related to BRI Bank Indonesia and perform exploratory data analysis (EDA) to understand the trends and topics discussed in the tweets.

Packages

libraries installed:

• pandas
• numpy
• seaborn
• plotly
• transformers (for Indonesia BERT Sentiment Classification model)
• snscrape

Notebook Structure

• EDA
• Applying Pre-trained IndoBERT
• LDA Modelling