Convolutions for Text Classification with Keras
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. We’re currently working on providing the same experience in other regions.
- Fecha Incio:21/06/2021
- Idioma: Inglés
- Universidad: Coursera Project Network
- Profesores: Snehan Kekre
- Certificado: Si