AI and Shell Scripting Project

Today, we’re going to create together an AI-Powered Sentiment Analysis Command Line Tool which will help us analyse the sentiment and tone of voice to the text we pass to it.

Project Overview

This shell script uses text input (e.g., from user reviews or social media posts) and performs sentiment analysis by leveraging a pre-trained NLP model through an API. The script will identify whether the text sentiment is positive, neutral, or negative, which is useful for analyzing customer feedback quickly from the command line.

Requirements

• A subscription to a sentiment analysis API like OpenAI’s GPT API, TextRazor, or Google Cloud NLP API. (in this project I’ll be using ChatGPT)
• curl command-line tool for making HTTP requests.
• jq for parsing JSON data from the API response.

Steps

1. Set up your API key for the sentiment analysis API of your choice.
2. Write a shell script that accepts a text input and calls the sentiment analysis API.
3. Parse the response to extract the sentiment value and display the result.

Here’s the Shell Script code

A copy-able version below ↓