Multi-Class Text Classification with Cansen Çağlayan Transformers: Data Analysis Text Preprocessing
Access all tutorials at https://www.muratkarakaya.net
Code on Colab: https://colab.research.google.com/dri...
Research Meetings playlist: • Research Meetings
Controllable Text Generation Playlist: • Controllable Text Generation with Transfor...
Classification with Keras / Tensorflow: • Classification with Keras / Tensorflow
TensorFlow Data Pipeline: • TensorFlow Data Pipeline: How to Design Co...
Github: https://github.com/kmkarakaya/Deep-Le...
Text Generation Playlist: • Text Generation in Deep Learning with Tens...
LSTM Playlist: • All About LSTM
Sequence-to-Sequence Learning: / part-a-introduction-to-seq2seq-learning-a-...
In this research meeting, I and Cansen Çağlayan discuss how to design a Transformer-based Text Classifier. In Part A, we will discuss and explain the necessary steps for Data Text Analysis & Text Preprocessing of Multi-Class Text Classification. We will apply text preprocessing by using the Keras Text Vectorization layer. We will also implement a TensorFlow Data Pipeline using tf.data library API.
In Part B, we will first design a custom model based on the GPT3 approach. Then, we will use a pre-train Bert model to classify multi-topic text reviews.
On this page of the site you can watch the video online Multi-Class Text Classification with Cansen Çağlayan Transformers: Data Analysis Text Preprocessing with a duration of hours minute second in good quality, which was uploaded by the user Murat Karakaya Akademi 01 January 1970, share the link with friends and acquaintances, this video has already been watched 2,051 times on youtube and it was liked by 42 viewers. Enjoy your viewing!
