Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ericrallen/sentiment-analysis-notebook
Jupyter Notebook exploring Sentiment Analysis with ChatGPT
https://github.com/ericrallen/sentiment-analysis-notebook
chatgpt prompt-engineering sentiment-analysis
Last synced: about 1 month ago
JSON representation
Jupyter Notebook exploring Sentiment Analysis with ChatGPT
- Host: GitHub
- URL: https://github.com/ericrallen/sentiment-analysis-notebook
- Owner: ericrallen
- Created: 2023-09-20T13:23:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-27T05:15:13.000Z (over 1 year ago)
- Last Synced: 2024-11-03T10:26:07.718Z (3 months ago)
- Topics: chatgpt, prompt-engineering, sentiment-analysis
- Language: Jupyter Notebook
- Homepage: https://ericrallen.github.io/sentiment-analysis-notebook/
- Size: 2.99 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sentiment Analysis with ChatGPT Workshop
In this interactive workshop powered by a Jupyter Notebook, we'll explore the basics of traditional Sentiment Analysis and how we can expand our sentiment analysis capabilities with ChatGPT and some clever prompting strategies.
## Web-based Notebook
[](https://mybinder.org/v2/gh/ericrallen/sentiment-analysis-notebook/main)
In addition to being available on Binder, this [workshop notebook](https://ericrallen.github.io/sentiment-analysis-notebook/) is automatically deployed to GitHub Pages via [`jupyter-book`](https://jupyterbook.org/intro.html).
**Note**: Unfortunately, the `ipywidgets` library used to create interactive demonstrations in the notebook does not seem to cooperate with GitHub Pages or the interactive cells provided by [Thebe](https://jupyterbook.org/en/stable/interactive/thebe.html?highlight=thebe). This is my first Jupyter Notebook, so it's likely that I misconfigured something.
**Note**: If you are running this notebook locally, it will look for the `OPENAI_API_KEY` environment variable, but you can also manually enter your OpenAI API key into the notebook.
## Getting Started
To run and interact with this notebook locally, follow the instructions below.
### Pre-requisites
1. Python `>=3.11`
2. [OpenAI API Key](https://platform.openai.com/account/api-keys)
3. [Lakera Guard Access Key](https://platform.lakera.ai/account/api-keys) (Optional)
### Installation
1. Clone this repository
```shell
git clone [email protected]:ericrallen/sentiment-analysis-notebook.git
```
2. Change into the directory
```shell
cd sentiment-analysis-notebook
```
3. Install the dependencies
```shell
pip install -r requirements.txt
```
**Note**: you can use whatever Python environment manager you prefer.
4. Create `.env` file; and fill in your API keys
```shell
cp .env.example .env
```
5. Run the notebook
```shell
jupyter notebook
```
6. Open the notebook in your browser and follow along