1. Gather words as many as you can at least over 100M words from the internet.
2. Find some basic statistics of the corpus and display them visually like charts.
3. Embed the words as vectors by machine learning like word2vec and display them in 2D or 3D
this is not a school assignment. I am a self-taught programmer and taking a Udemy course called Natural Language Processing with Deep Learning in Python. I had built a conference system using Python and Freepbx, and I am looking for ways to add some language features. Here I am, I'd like to see this in action where I can learn at least this can be done.
I've got Django and tensorflow working in my server and have a pythonanywhere hosting service, and completed a 70-hour Machine-learning class from a vocational school.
You will have to set up one to work out your solution in my settings, so that I can revisit as much as I need. Some documentation is also necessary.
Project budget: 200USD
Bu iş için 7 freelancer ortalamada $175 teklif veriyor
do kindly reach out to me over chat and we can get started on the task. Also, if there are additional information you can share with me in a zip file
Hi, Dear. I am a Data Science, Machine Learning, Deep Learning Expert. Word2vec is implemented by TF-IDF and Bag of Word method , I have expertise of this. Please Contact me. I am ready. Thanks for your attention.