I am trying to train a text classification model with the help of the Bayesian Neural Network. But I cannot find any demo implementation on it. Basically I am facing various issues on how to properly prepare data if I want to use it in text classification.
Hi @hafiz031 ,
To prepare data for a Bayesian Neural Network in text classification, you need to:
- Tokenize the text.
- Normalize and remove stop words.
- Vectorize the text.
- Split the data into training, validation, and testing sets.
- Handle class imbalance if necessary.
Use TensorFlow to build the model and train it on the prepared data. additonally you can refer this documentation for better understanding and functionality .
Hope this helps ,
Thank you