5,166 reputation
63990
bio website
location Belgium
age 24
visits member for 3 years, 7 months
seen Feb 7 at 13:58

I regularly visit Stack Exchange to help out people with their questions and help maintain the community. Located in Belgium, I am studying Computer Science at the University of Antwerp.

When I think a post can be improved I will try to do so by fixing grammatical or spelling errors, clarifying meaning without changing it, correcting minor mistakes, adding related resources or links. For the less obvious things of those I will leave a note in the edit, click on the date to see this.

I will only edit content in posts once, and let the author or other users be free to choose to rollback; when there are opposing views, we can raise this to meta to let the majority decide which revision of the post they want.

This will be done with respect of the original author and when I'm sure enough that it would only improve the post, if you need to contact me then you can e-mail me at the following address:

Or if you have enough reputation, try to send me a message with @TomWij on the Super User Chat where I am usually when I am online.

Have a nice day! :)


Sep
29
revised Tabs versus spaces—what is the proper indentation character for everything, in every situation, ever?
added 1 characters in body
Sep
29
comment Tabs versus spaces—what is the proper indentation character for everything, in every situation, ever?
@insta: Ye pirates make insta kills with yer mighty swords, I'm dead serious.
Sep
18
comment Should a software developer carry business cards?
A more digital up-to-date alternative is to send a Contact Card between mobiles using Bluetooth; but, you'll have to enable Bluetooth first and it's not widely used by people... ^^
Sep
18
revised Should a software developer carry business cards?
Split paragraphs, linkified things (some) people might not know, corrected GutHub --> GitHub.
Sep
15
awarded  Nice Question
Sep
15
awarded  Nice Question
Sep
10
awarded  Yearling
Aug
23
awarded  Good Question
Aug
23
awarded  Nice Question
Aug
21
awarded  Notable Question
Aug
18
comment How do I cluster strings based on a relation between two strings?
+1 Excellent answer. For the cosine distance function, do I just need to make two vectors where I use 1 if a word exists and 0 if it does not exist? An implementation I could see is to sort both strings by lexical order and then add a 1 if it exists and a 0 if it does not exist. Or can I somehow base myself on existing pairs of which it knows they are already duplicate? Or would that be too inefficient?
Aug
18
comment How do I cluster strings based on a relation between two strings?
+1 Found the PDFs but I found them to include too much mathematical information and statistics (based on pictures rather than text) that kind of sets me back, it's nice to know it's called that way though.
Aug
18
accepted How do I cluster strings based on a relation between two strings?
Aug
17
awarded  Favorite Question
Aug
15
comment How do I cluster strings based on a relation between two strings?
Glad that you see it, sometimes there are those beneficial details we don't come up with at first... :(
Aug
15
comment How do I cluster strings based on a relation between two strings?
The problem is realistic, it's not really hard to figure out that weather really cold raining shares three words with weather really cold today and good music radio station shared none. Again, I don't care about the actual meaning or interpretation of the sentence, if it were negated it would still be a duplicate because it is about the same topic. Sorry that my example was not clear enough, I should have mentioned "word occurrence" as that is what makes "I see the sunshine outside" the least relevant.
Aug
15
comment How do I cluster strings based on a relation between two strings?
I did not specify that. It needs to base itself on word occurrence in sentences. The correlation between cold/rainy is unnecessary here, that is another problem which is irrelevant here and could again be solved by replacing the word. Of course something that would actually understand a sentence would work much better, but that's not what I'm aiming for. Word occurrence is fine enough for the problem I have...
Aug
15
comment How do I cluster strings based on a relation between two strings?
Well, the sentence would be parametrized by their words. The last two sentences I gave can as well be seen as weather really cold raining and weather really cold today removing the stop words. My first idea was to implement Levenshtein distance or something similar that's word based, the problem is that it doesn't work well on the huge data set I have; it doesn't necessarily need to know synonyms/antonyms (I could write an apart system to replace synonyms for that matter), it is intended to suggest the most relevant.
Aug
15
asked How do I cluster strings based on a relation between two strings?
Aug
15
accepted How to prevent deep indentations?