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Dry-Sweet-3008 t1_j327kry wrote

Computational Linguist here, currently getting a PhD in NLP. If you want to get into that area, full-stack development isn't going to help (although it's a cool thing to do on its own if you're interested). Web development and Data Science (ML /DL etc.) are very different thigns. Also, while SQL is helpful in a lot of ML projects, natural language data is unstructured and is not to be stored in SQL databases. Instead, I'd suggest learning the fundamentals of Machine Learning first. Once you're there, you can start specializing in NLp topics. As a lawyer, your strength will probably be understanding the methods enough so you can assess whether or not a certain problem can be solved with NLP. Hope this helps!

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lebeaudiable t1_j32cx1s wrote

Thank you for the advice. I fell into development during the pandemic and it’s been my new area of interest ever since. Being a full-stack dev is just a personal goal of mine. I am planning on learning more about ML in general after I finish reading/following along with the NLTK book, and I will likely take a course. Do you recommend any SPECIFIC materials? I know what’s commonly recommended via wiki and search, but I’m curious to know what you’re using and reading in your program or what you’d recommend in general, personally.

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StackOwOFlow t1_j33kwse wrote

As a domain expert, you’d probably want to focus specifically on feature engineering if you’re looking to continue training the existing model or new models. A lot of it comes down to asking good questions and hypothesis testing informed by knowledge of the law that you already have.

Figuring out how to use those models in real-world applications employs a different skillset, however, and that sounds more like what your original question is asking about. You’d probably get a better sense of this through examples of applications that intro to ML courses reference and surveying ML-driven applications in various industries. Here's a good hands-on resource: https://machinelearningmastery.com/start-here

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IndustryNext7456 t1_j3hto6k wrote

EE here, 25 years in NLP. Working in Prolog, Datalog, Logica for formal verification. Using NLP to extract facts for verification.

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