winnow | Deprecated | SQL Database library

I have an ASP.NET MVC application that needs to integrate OpenID Connect authentication from a Private OpenID Connect (OIDC) Provider, and the flow has the following steps:

1. user click sign-in

2. it will redirect the user to the private OIDC site for authentication using the below HTTP GET request:

3. after successful login in the private OIDC site, it will redirect back to my site and get the uri with a code result showing as below:

4. then i will need to use the code from the above and make an HTTP POST call to the private ODIC token endpoint to get the access token for this user.

So, my questions #1 is: how to implement this in the c# asp.net app?

Also, I tried this in Postman "Get New Access Token", and I got the token.

as you can see after I supply all the parameters and click Request Token, it popup the login winnow, after successful sign in ,it shows the token

my questions #2 is: similar to question #1, is there anyway to implement this in c# asp.net app? like in a asp.net mvc app, add a link-button with the url in the 1st image, when user clicks it will redirect it back to myapp with the code, and then use this code to make HTTP POST call in the stpe3.

In my Python task, I've a string (Paragraph) of bibliography that I want to parse into list of strings.

here is whole string

I trained Decision Tree model using train function from caret library:

I have a website served by NGINX, with ~1000 rewrite rules which ensure pages which existed before the website was completely rewritten are honoured.

Things like:

How are keyword clouds constructed? I know there are a lot of nlp methods, but I'm not sure how they solve the following problem:

You can have several items that each have a list of keywords relating to them.

(In my own program, these items are articles where I can use nlp methods to detect proper nouns, people, places, and (?) possibly subjects. This will be a very large list given a sufficiently sized article, but I will assume that I can winnow the list down using some method by comparing articles. How to do this properly is what I am confused about).

Each item can have a list of keywords, but how do they pick keywords such that the keywords aren't overly specific or overly general between each item? For example, trivially "the" can be a keyword that is a lot of items. While "supercalifragilistic" could only be in one.

I suppose that I could create a heuristic where if a word exists in n% of the items where n is sufficiently small, but will return a nice sublist (say 5% of 1000 articles is 50, which seems reasonable) then I could just use that. However, the issue that I take with this approach is that given two different sets of entirely different items, there is most likely some difference in interrelatedness between the items, and I'm throwing away that information.

This is very unsatisfying.

I feel that given the popularity of keyword clouds there must have been a solution created already. I don't want to use a library however as I want to understand and manipulate the assumptions in the math.

If anyone has any ideas please let me know.

Thanks!

EDIT:

freenode/programming/guardianx has suggested https://en.wikipedia.org/wiki/Tf%E2%80%93idf

tf-idf is ok btw, but the issue is that the weighting needs to be determined apriori. Given that two distinct collections of documents will have a different inherent similarity between documents, assuming an apriori weighting does not feel correct

freenode/programming/anon suggested https://en.wikipedia.org/wiki/Word2vec

I'm not sure I want something that uses a neural net (a little complicated for this problem?), but still considering.

I'm making a program to take fingerprint values using a winnowing algorithm. which is where I have to take the smallest value from an array. but not only the smallest, there are conditions where if you find the same value, the rightmost value will be taken along with the index value. example array (3,5,5,8,6,7). from this example, I want to take the index of the second number 5, which is index 2, not index 1.

but when I try to get the same value as the rightmost position use the function min () in php, but the one I get is always the leftmost position.

I expect the output of

I am trying to get distinct List with unique int[], but I am still getting duplicates.

I am trying to build a Perl module out of a CXX module using Swig. There are multiple guides related to this:

1. The generic Swig tutorial with a Perl section
2. The Swig and C++ guide
3. The Swig and Perl5 guide

I'm new to Swig and not very familiar with C(++), but I've been able to compile my module following the tutorial in 1:

I created an interface file:

I'm building a C5.0 model with the caret package in r.