Create README.md

Author: mehul-m-prajapati

Classification Models/Emotion Classification/README.md

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+# Emotion Classification from Text
+
+This project implements an emotion classification model using a pre-trained transformer model (DistilBERT) to classify emotions based on text inputs. The model is trained on a dataset containing various emotional statements.
+
+## Table of Contents
+
+- [Overview](#overview)
+- [Dataset](#dataset)
+- [Installation](#installation)
+
+## Overview
+
+The goal of this project is to classify emotions expressed in text using natural language processing (NLP) techniques. We leverage the Hugging Face Transformers library to fine-tune a pre-trained DistilBERT model on our dataset.
+
+## Dataset
+
+The dataset used for training the model should have the following structure:
+
+| content                        | sentiment |
+|--------------------------------|-----------|
+| alonzo feels angry             | anger     |
+| alonzo feels sad               | sadness   |
+| alonzo feels terrified          | fear      |
+
+Make sure to place your dataset in the project directory and name it `emotion_data.csv`.
+
+## Installation
+
+To run this project, you'll need to install the required Python packages. You can do this using pip:
+
+```bash
+pip install transformers torch pandas scikit-learn