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Project 1: Sentiment Analysis with BERT
6. Step 3: Tokenizing the Dataset
BERT requires tokenized input, so we’ll use its tokenizer to preprocess the text.
Code Example: Tokenization
# Load BERT tokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
# Tokenize dataset
def tokenize_function(examples):
return tokenizer(examples["text"], truncation=True, padding="max_length", max_length=128)
# Apply tokenization
tokenized_train = train_data.map(tokenize_function, batched=True)
tokenized_test = test_data.map(tokenize_function, batched=True)6. Step 3: Tokenizing the Dataset
BERT requires tokenized input, so we’ll use its tokenizer to preprocess the text.
Code Example: Tokenization
# Load BERT tokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
# Tokenize dataset
def tokenize_function(examples):
return tokenizer(examples["text"], truncation=True, padding="max_length", max_length=128)
# Apply tokenization
tokenized_train = train_data.map(tokenize_function, batched=True)
tokenized_test = test_data.map(tokenize_function, batched=True)6. Step 3: Tokenizing the Dataset
BERT requires tokenized input, so we’ll use its tokenizer to preprocess the text.
Code Example: Tokenization
# Load BERT tokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
# Tokenize dataset
def tokenize_function(examples):
return tokenizer(examples["text"], truncation=True, padding="max_length", max_length=128)
# Apply tokenization
tokenized_train = train_data.map(tokenize_function, batched=True)
tokenized_test = test_data.map(tokenize_function, batched=True)6. Step 3: Tokenizing the Dataset
BERT requires tokenized input, so we’ll use its tokenizer to preprocess the text.
Code Example: Tokenization
# Load BERT tokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
# Tokenize dataset
def tokenize_function(examples):
return tokenizer(examples["text"], truncation=True, padding="max_length", max_length=128)
# Apply tokenization
tokenized_train = train_data.map(tokenize_function, batched=True)
tokenized_test = test_data.map(tokenize_function, batched=True)