Multi-Class Text Classification with Cansen Çağlayan Transformers: Data Analysis Text Preprocessing
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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.
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