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Re:Ask HN: Data Science portfolio projects ideas by TBF-RnD on Sunday June 02, 2019 @10:11AM (#20075546)
Perhaps give me a hand researching text input, I'm starting to gather a rather large source of ideas to be implemented. Fun work really allows you to think outside of the box. Spans all the way from UI-design down to system calls into the os ia C. So there area lot of areas to cover. Let me know by commenting if you are interested.
Re:Ask HN: Data Science portfolio projects ideas by koots on Sunday June 02, 2019 @12:52PM (#20076542)
Please elaborate. What are you researching about text input?
Re:Ask HN: Data Science portfolio projects ideas by TBF-RnD on Sunday June 02, 2019 @01:20PM (#20076709)
This is the reasoning behind the project. In short I'd say that with VR around the corner and touchscreen everywhere but no practical way of doing work as such on smarthones tablets the way we look at text input should be reconsidered. International input and accomodating for disabled people are other angles. tbf-rnd.life/blog/2019/05/21/hello-world

I'm working on compiling my findings into a book. http://tbf-rnd.life/the-book-of-lesser-known-input-methods/

Along with this I am creating a framwork that can be used to - demonstrate - benchmark - provide common os support - provide to the different models.

As such say the Dasher model can be compared more or less scientifically to say plain old keyboard method or why not chorded input

So there are plenty of interesting concepts to dig into here. From UI design in javascript to analysis on text a lot of word2vec and other fun stuff and why not 3d interfaces.

I do this as a portfolio of sorts since it demonstrates such a wide range of knowledge.

Furthermore as we are dealing with a keyboard, that is something that is _always_ in use it's really important to create a wellpolished fast method so it's not for the faint hearted.

Re:Ask HN: Data Science portfolio projects ideas by koots on Wednesday June 05, 2019 @03:07AM (#20102132)
I have actually done some work with doc2vec. What is in these text data? What do you hope to extract?