We did sentiment prediction with various model types such as XgboostClassifier , LogisticRegression**
1-) first we did text preprocessing on data.
2-) Clean , tokenize the all sentiments
3-)Remove Stopwords , and used regex for different patterns in the sentiments
4-) After cleaning , Vectorize our data with CountVectorizer order to train our data
5-) And also we used tfidfvectorizer order to obtain diffirent insights from the data
6-) finally we train our dataset with diffirent classifiers and compare each results