Convolutions for Text Classification with Keras from Coursera

Welcome to this hands-on, guided introduction to Text Classification using 1D Convolutions with Keras. By the end of this project, you will be able to apply word embeddings for text classification, use 1D convolutions as feature extractors in natural language processing (NLP), and perform binary text classification using deep learning. As a case study, we will work on classifying a large number of Wikipedia comments as being either toxic or not (i.e. comments that are rude, disrespectful, or otherwise likely to make someone leave a discussion). This issue is especially important, given the conversations the global community and tech companies are having on content moderation, online harassment, and inclusivity. The data set we will use comes from the Toxic Comment Classification Challenge on Kaggle. To complete this guided project, we recommend that you have prior experience in Python programming, deep learning theory, and have used either Tensorflow or Keras to build deep learning models. We assume you have this foundational knowledge and want to learn how to use convolutions in NLP tasks such as classification. Note: This course works best for learners based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers hands-on experience in a guided environment, which is standard in industry

Develops skills in word embedding, 1D convolutions, and deep learning for text classification, which are core for NLP tasks

Uses a relevant case study on Wikipedia comments to demonstrate toxic comment classification, which is a pressing issue in online communities

Requires prior experience in Python, deep learning theory, and TensorFlow/Keras, which may limit accessibility for beginners

Reviews summary

Text classification with convolutions

This course focuses on 1D convolutions with Keras for text classification tasks. You'll use word embeddings to classify Wikipedia comments as toxic or not. The course is well-received with many positive reviews but a few criticisms as well. However, overall, the course is considered very useful and informative for those with prior experience in Python, deep learning, and Keras.

Great for beginners.

"Demonstrates using pre-computed word embeddings together with Keras CNN for classification."

"Very informative, and explained why and what functions are used."

Insufficient insight given as why this particular setup works for classification.

"Insufficient insight given as why this particular setup...works for classification."

Resource sharing is missing.

"Resource sharing is missing: there is no code/data sharing despite of the promise in the video."

Works too slow.

"Good explanation about how to work with pretrained embeddings, but works too slow"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Convolutions for Text Classification with Keras with these activities:

Course Material Compilation

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Enhance your course experience by organizing and reviewing essential materials.

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Gather and organize notes, assignments, quizzes, and exams.
Review the compiled materials regularly to reinforce your understanding.

Walkthrough: 1D Convolutions with Keras

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Reinforce your understanding of 1D Convolutions by following a guided tutorial on its implementation with Keras.

Browse courses on Word Embeddings

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Find a comprehensive tutorial covering 1D Convolutions with Keras.
Follow the tutorial step-by-step to build a text classification model.
Experiment with different hyperparameters and observe their impact on model performance.

Kaggle Text Classification Competition

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Test and showcase your skills by participating in a Kaggle competition related to text classification.

Browse courses on Kaggle Competitions

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Identify a Kaggle competition that aligns with your interests and skill level.
Gather and explore the competition dataset.
Develop and train a text classification model using your knowledge from the course.
Submit your model to the competition and analyze the results.

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Career center

Learners who complete Convolutions for Text Classification with Keras will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

The Text Classification with Keras course on Coursera is a great fit for aspiring Natural Language Processing (NLP) Engineers. This course teaches foundational NLP techniques such as word embeddings and 1D convolutions, which are essential skills for NLP Engineers. By taking this course, you will gain a solid understanding of how to use deep learning to solve NLP problems, such as text classification. You will also learn how to use Keras, a popular deep learning library, to build and train NLP models.

See salaries and explore the career path for Natural Language Processing Engineer

Data Scientist

The Text Classification with Keras course on Coursera is a valuable resource for aspiring Data Scientists who want to learn how to use deep learning to solve real-world problems. This course teaches the fundamentals of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

The Text Classification with Keras course on Coursera is a helpful resource for aspiring Machine Learning Engineers who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Machine Learning Engineer

NLP Developer

The Text Classification with Keras course on Coursera is a great fit for aspiring NLP Developers who want to learn how to use deep learning to solve NLP problems. This course teaches the fundamentals of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for NLP Developer

Deep Learning Engineer

The Text Classification with Keras course on Coursera may be useful for aspiring Deep Learning Engineers who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Deep Learning Engineer

AI Engineer

The Text Classification with Keras course on Coursera may be useful for aspiring AI Engineers who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for AI Engineer

Software Engineer

The Text Classification with Keras course on Coursera may be useful for aspiring Software Engineers who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Software Engineer

Computer Scientist

The Text Classification with Keras course on Coursera may be useful for aspiring Computer Scientists who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Computer Scientist

Data Analyst

The Text Classification with Keras course on Coursera may be useful for aspiring Data Analysts who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Data Analyst

Operations Research Analyst

The Text Classification with Keras course on Coursera may be useful for aspiring Operations Research Analysts who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Operations Research Analyst

Statistician

The Text Classification with Keras course on Coursera may be useful for aspiring Statisticians who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Statistician

Quantitative Analyst

The Text Classification with Keras course on Coursera may be useful for aspiring Quantitative Analysts who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

The Text Classification with Keras course on Coursera may be useful for aspiring Financial Analysts who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Financial Analyst

Market Researcher

The Text Classification with Keras course on Coursera may be useful for aspiring Market Researchers who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Market Researcher

Business Analyst

The Text Classification with Keras course on Coursera may be useful for aspiring Business Analysts who want to learn how to use deep learning to solve NLP problems. This course teaches the basics of deep learning for text classification, including how to use word embeddings and 1D convolutions. By taking this course, you will gain the skills you need to build and train deep learning models for a variety of NLP tasks.

See salaries and explore the career path for Business Analyst