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from nltk.corpus import stopwords

from nltk.stem import WordNetLemmatizer

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import re
import seaborn as sns
from imblearn.over_sampling import SMOTE
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
from sklearn.preprocessing import LabelEncoder
from xgboost import XGBClassifier
from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.svm import LinearSVC
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.metrics import confusion_matrix, accuracy_score