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In this liveProject, you’ll step into the role of a natural language processing data scientist working for Stack Exchange. Stack Exchange runs a network of question-and-answer sites on diverse topics ranging from programming to cooking. Your boss wants you to create language models that are tuned to the statistical, probabilistic, and technical jargon present in different Stack Exchange sites.
Language is domain-specific—an insurance company’s documents will use very different terminology than a post on a social media site. Because of this, off-the-shelf NLP models trained on generic text can be inaccurate for specialized domains such as healthcare, legal, clinical, and agricultural language. Your goal is to build a language model capable of query completion and larger text generation for Stack Exchange sites. At the end of this project, you will be able to build the foundations of any domain-specific NLP system by creating a robust and efficient language model using statistical and deep learning techniques.
Updated: March 2022
This course is for intermediate Python programmers who have experience with text-based deep learning. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you’ll learn to build a domain-focused language model using deep learning. You’ll develop skills in Python scripting, neural networks creation, and training language models. At the end of this project, you will be able to build a foundation for any domain-specific NLP system by creating specialized, robust and efficient language models.
geekle is based on a wordle clone.