https://github.com/nordszamora/sentiment
This ML project is used to predict the text sentiment positive, negative or neutral. Its used a Reddit dataset in kaggle to train the model and make a prediction on new/unseen data.
https://github.com/nordszamora/sentiment
django joblib kaggle naive-bayes-classifier pandas python redditdata scikit-learn
Last synced: 16 days ago
JSON representation
This ML project is used to predict the text sentiment positive, negative or neutral. Its used a Reddit dataset in kaggle to train the model and make a prediction on new/unseen data.
- Host: GitHub
- URL: https://github.com/nordszamora/sentiment
- Owner: nordszamora
- License: mit
- Created: 2024-02-18T04:04:49.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-18T05:27:49.000Z (over 1 year ago)
- Last Synced: 2025-06-05T16:09:02.406Z (27 days ago)
- Topics: django, joblib, kaggle, naive-bayes-classifier, pandas, python, redditdata, scikit-learn
- Language: Python
- Homepage: https://sentimentpredictor.pythonanywhere.com
- Size: 881 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Sentiment ML model
This ML project is used to predict the text sentiment positive, negative, or neutral. It uses a [Reddit dataset](https://www.kaggle.com/datasets/cosmos98/twitter-and-reddit-sentimental-analysis-dataset?select=Reddit_Data.csv) from Kaggle to train the model and make predictions on new/unseen data.
### Quick Start
Install this project on your local machine and here are following steps.
1. Run the following commands
```
$ git clone https://github.com/nordszamora/sentiment
$ cd sentiment
$ pip install -r requirements.txt
$ python manage.py collectstatic
$ python manage.py runserver
```
2. Open your browser and paste it on address bar http://localhost:8000