Sentom (sentiment-topic-modeling) is a simple web application that allows you to do topic modeling on sentiment review using BERTopic. This application is built using Streamlit and Snowflake.
Using Sentom, you can:
- Do topic modeling on sentiment review
- See the top keywords for each topic
- Clone the repository:
git clone https://github.com/putuwaw/sentom.git
- Install the requirements:
pip install -r requirements.txt
-
Create
secret.toml
file in.streamlit
folder and fill it with your Snowflake credentials. See Documentation for more information. -
Run the application:
streamlit run Home.py
This project is licensed under the MIT License. See the LICENSE file for details.
BERTopic is a topic modeling technique that leverages hugs transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions Thank you to the developers and contributors of this open-source tool. Learn more about BERTopic here.