Part G: Text Classification with a
Recurrent Layer
Author: Murat Karakaya
Date created….. 17 02 2023
Date published… 08 04 2023
Last modified…. 08 04 2023
Description: This is the Part G of the tutorial series “Multi-Topic Text Classification with Various Deep Learning Models” which covers all the phases of multi-class text classification:
- Exploratory Data Analysis (EDA),
- Text preprocessing
- TF Data Pipeline
- Keras TextVectorization preprocessing layer
- Multi-class (multi-topic) text classification
- Deep Learning model design & end-to-end model implementation
- Performance evaluation & metrics
- Generating classification report
- Hyper-parameter tuning
- etc.
We will design various Deep Learning models by using
- Keras Embedding layer,
- Convolutional (Conv1D) layer,
- Recurrent (LSTM) layer,
- Transformer Encoder block, and
- Pre-trained transformer (BERT).
We will cover all the topics related to solving Multi-Class Text Classification problems with sample implementations in Python / TensorFlow / Keras environment.
We will use a Kaggle Dataset in which there are 32 topics and more than 400K total reviews.
If you would like to learn more about Deep Learning with practical coding examples,
- Please subscribe to the Murat Karakaya Akademi YouTube Channel or
- Follow my blog on muratkarakaya.net
- Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
You can access all the codes, videos, and posts of this tutorial series from the links below.
Accessible on:
In this tutorial series, there are several parts to cover Text Classification with various Deep Learning Models topics. You can access all the parts from this index page.
In this part, we will use the Keras Bidirectional LSTM layer in a Feed Forward Network (FFN).
If you are not familiar with the Keras LSTM layer or the Recurrent Networks concept, you can check in the following Murat Karakaya Akademi YouTube playlists:
English:
Turkish
If you are not familiar with the classification with Deep Learning topic, you can find the 5-part tutorials in the below Murat Karakaya Akademi YouTube playlists:
- How to solve Classification Problems in Deep Learning with Tensorflow & Keras
- Derin Öğrenmede Sınıflandırma Çeşitleri Nelerdir? Keras ve TensorFlow ile Nasıl Yapılmalı? (in Turkish)
Photo by Markus Spiske on Unsplash
