-
Notifications
You must be signed in to change notification settings - Fork 26
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Adding more algorithms of semantic similarity #12
Comments
You are welcome to contribute :) |
I found that this method is already implemented in R in the ppiPre package in the function TCSSGeneSim, maybe it is worth to explain it to your users. However I didn't manage to make it work. I will contact the maintainer to know if I am doing something or if it is still working, otherwise I would borrow part of the code. |
The See https://guangchuangyu.github.io/2014/11/proper-use-of-gosemsim/. I personally reject any source code derived from |
In case I don't manage to re-implement the TCSS algorithm, here is another similarity taking into account the relationships between edges. Which I think will be easier to implement albeit it doesn't use information content. (I post this here as a reminder to myself) A list of methods can be found here. |
Can anyone help me in implementing TCSS for finding the semantic similarity .can anyone help me out of this or kindly send me a link from where i can get some help |
@Raheemkhan007 I could help, but I haven't worked in this in a while. I could look at it again, you can create a pull request and I would review it if you want. Or we can comment your troubles in a separated issue/branch or fork. |
@llrs i am working on it but i cant implement it in python. if you having any link according to it kindly share it with me |
@Raheemkhan007 (almost) all information I have is posted here. If you implement it in python I can help in the translation to R. (Or it could be imported by R) |
I won't be able to contribute with more implementations so I close the issue |
I found another semantic similarity, are you interested in having it in the package?
I could spend some time trying to implement it in R for your package, or simply to call their program from the package. Here I left the reference:
The text was updated successfully, but these errors were encountered: