Update main.py

main.py

@@ -1,22 +1,29 @@
-
+# Mengimpor pustaka yang diperlukan
 import pandas as pd
 import numpy as np
+import sklearn.manifold as manifold
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pickle
 import nltk
 import tensorflow as tf
 import re
-import nltk
+
+# Mengunduh tokenizer dan stopwords
+nltk.download('punkt')
+nltk.download('stopwords')
+
+# Mengimpor komponen dari NLTK
 from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize, sent_tokenize
+
+
+# Mengimpor komponen dari scikit-learn dan transformers
 from sklearn.model_selection import train_test_split
-from sklearn.metrics import classification_report, accuracy_score, confusion_matrix
-import seaborn as sns
-from transformers import BertTokenizer
-from transformers import TFBertForSequenceClassification
-nltk.download('punkt')
-nltk.download('stopwords')
+from sklearn.metrics import classification_report, accuracy_score, confusion_matrix, roc_curve, auc
+from sklearn.manifold import TSNE
+from wordcloud import WordCloud
+from transformers import BertTokenizer, TFBertForSequenceClassification
 
 df = pd.read_csv("dataset_tweet_sentiment_pilkada_DKI_2017.csv")