This story was originally published on HackerNoon at: https://hackernoon.com/comparison-of-machine-learning-methods-abstract-and-introduction).
This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning).
You can also check exclusive content about #natural-language-processing), #machine-learning), #machine-learning-methods), #shallow-machine-learning), #ensemble-machine-learning), #deep-language-models), #types-of-machine-learning), #machine-learning-assignment), and more.
This story was written by: [@hashfunction](https://hackernoon.com/u/hashfunction)). Learn more about this writer by checking [@hashfunction's](https://hackernoon.com/about/hashfunction)) about page,
and for more stories, please visit [hackernoon.com](https://hackernoon.com)).
This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models.
