How can text vectorization be applied on stackoverflow question dataset using Tensorflow and Python?

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.

The ‘tensorflow’ package can be installed on Windows using the below line of code −

pip install tensorflow

Tensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or a list.

We are using Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code over the browser and requires zero configuration and free access to GPUs (Graphical Processing Units). Colaboratory has been built on top of Jupyter Notebook.

Example

Following is the code snippet −

print("1234 ---> ", int_vectorize_layer.get_vocabulary()[1289])
print("321 ---> ", int_vectorize_layer.get_vocabulary()[313])
print("Vocabulary size is : {}".format(len(int_vectorize_layer.get_vocabulary())))

print("The text vectorization is applied to the training dataset")
binary_train_ds = raw_train_ds.map(binary_vectorize_text)
print("The text vectorization is applied to the validation dataset")
binary_val_ds = raw_val_ds.map(binary_vectorize_text)
print("The text vectorization is applied to the test dataset")
binary_test_ds = raw_test_ds.map(binary_vectorize_text)

int_train_ds = raw_train_ds.map(int_vectorize_text)
int_val_ds = raw_val_ds.map(int_vectorize_text)
int_test_ds = raw_test_ds.map(int_vectorize_text)

Code credit − https://www.tensorflow.org/tutorials/load_data/text

Output

1234 ---> substring
321 ---> 20
Vocabulary size is : 10000
The text vectorization is applied to the training dataset
The text vectorization is applied to the validation dataset
The text vectorization is applied to the test dataset

Explanation

• As a final preprocessing step, the ‘TextVectorization’ layer is applied on the training data, test data and validation dataset.

AmitDiwan

Updated on 18-Jan-2021 12:19:50

• Related Questions & Answers
• How can Tensorflow be used to configure the stackoverflow question dataset using Python?
• How can Tensorflow be used to vectorise the text data associated with stackoverflow question dataset using Python?
• How can Tensorflow be used to check how well the model performs on stackoverflow question dataset using Python?
• How can Tensorflow be used to predict a score for stackoverflow question dataset on every label using Python?
• How can Tensorflow be used to train the model with the stackoverflow question dataset using Python?
• How can Tensorflow be used to explore the dataset and see a sample file from the stackoverflow question dataset using Python?
• How can Tensorflow be used to prepare the dataset with stackoverflow questions using Python?
• How can Tensorflow be used to load the dataset which contains stackoverflow questions using Python?
• How can predictions be made on Auto MPG dataset using TensorFlow?
• How can Keras be used to download and explore the dataset associated with predicting tag for a stackoverflow question in Python?
• How can a sequential model be built on Auto MPG dataset using TensorFlow?
• How can Tensorflow be used to download and explore the Illiad dataset using Python?
• How can Tensorflow be used to load the Illiad dataset using Python?
• How can Tensorflow be used to train the Illiad dataset using Python?
• How can Tensorflow be used to visualize the flower dataset using Python?