Steps that has been followed:
Step_1: As the dataset was present in Kaggle, I took some reference from web and use kaggle dataset in Google Colab.
Step_2: Analyze data and determine features that can be built using the dataset
Step_3: For feature extraction TFIDF and BOW is used.
Step_4: Split data into Test and Train data.(80:20)
Step_5: Used bag of words upto 4 grams and computed the micro f1 score with Logistic regression(OvR)
Step_6: Applied Logistic Regression and Linear-SVM.
Step_7: Found the corresponding Micro F1 score in each model.