This project implements emotion detection using Tf-idf vectorization technique. It aims to classify text documents into different emotion categories based on the content of the text.
The dataset used for this project consists of a collection of text documents labeled with different emotions. Each document is associated with one or more emotion labels. The dataset can be obtained from [https://www.kaggle.com/datasets/praveengovi/emotions-dataset-for-nlp].
The project is implemented using the following technologies and libraries:
->Python 3.9.6 ->pandas 1.3.0 ->scikit-learn 0.24.2