Reminds me of a (personal) website I saw long time ago that replicates an earlier day OSX desktop, with functional itunes player. Does anyone remember what it was called?
That's a different story. Aws was competiting for revenue with the developers of MongoDB and Redis' for profit company. Postgres' publisher does not use managed service as a source of income.
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Great work! There are several directions where you can make your work more substantial. For once it would be interesting to see what's the marginal benefit of iterative minification over iterations (can be represented in a graph). Does Remynification approach an asymptotic size value, will further minification actually increase the size instead of decreasing?
Also, it would be interesting to take screenshot using selenium as suggested by sbierwagen and see if Remynification actually preserves initial layout.
Lastly, it would be interesting to see a theory proposed as why such method work, and what can future minifier learn from this.
I was interested in sentiment analysis, so I read a lot surveys, papers; and researched what implementations are available. I thought it would be beneficial for the community to have a list of useful resources, serving as a good starting point.
The goal of this repository is to provide adequate links for scholars who want to research in this domain; and at the same time, be sufficiently accessible for developers who want to integrate sentiment analysis into their applications.
Experts in sentiment analysis and opnion mining, please don't hesitate to criticize this work :)
Given that you are familliar with Javascript already. You can pick up nodejs easily. Using nodejs for a while will give you an idea of what backend development's daily life look like.
Once you understand the common tasks that are involved in backend development, it will be easier to switch programming languages. Python is a good choice for example, it is very versatile and has been used to program various backend server. It is also being used extensively in scientific computing, machine learning and etc.
Got that this is using nltk. Can you comment on which summarization algorithm you are using (TextRank, SumBasic and etc.) What's the motivation towards choosing one algorithm over another and how's its performance on average HN articles?