Emotions Text Classification: Multi Class Classifications

Multi-class sentiment analysis problem to classify texts into five emotion categories: joy, sadness, anger, fear, surprise, love. A fun mini project to go through different text classification techniques.

Dataset

(https://www.kaggle.com/praveengovi/emotions-dataset-for-nlp)

The sentiment labels are:

• sadness
• anger
• love
• surprise
• fear
• joy

Project Highlight

• Load the data from kaggle
• Data Cleaning
  • Removed unwanted text, hyperlink, punctuations,Stop word removal, lemmatization
• Data Exploratory analysis
• Build and train the Model
• Evaluate our model on the test set

Embedding

• Glove pre-trained

Model

• CNN Classifier

How to Run The Code

All the code and comments are listed the jupyter notbook (Classify_emotions_in_text.ipynb)