April 2022
Beginner to intermediate
200 pages
4h 17m
English
Content preview from Natural Language Processing with Flair
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Chapter 8: Text Classification in Flair
After covering complex topics such as hyperparameter tuning, embedding and sequence labeling model training, we're now ready to move to a slightly more straightforward and easy to grasp part of Natural Language Processing (NLP). In this chapter, we'll be covering text (also known as document) classification. While Flair's strength traditionally lies in sequence tagging, the library offers solutions that leverage both Flair embeddings as well as other third-party solutions that allow it to yield decent results with text classification. Some of its strengths lie in its simplicity in training while others lie in the zero and few-shot classifiers – classifiers that require little to no training data.
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