Word2Sense | Sparse Interpretable Word Embeddings
kandi X-RAY | Word2Sense Summary
kandi X-RAY | Word2Sense Summary
Word2Sense is a Python library. Word2Sense has no bugs, it has no vulnerabilities and it has low support. However Word2Sense build file is not available. You can download it from GitHub.
This is the code base for our paper "Word2Sense: Sparse Interpretable Word Embeddings", accepted in 57th meeting of Association of Computational Linguistics (ACL 2019). We have made minor changes in WarpLDA codebase, specifically in files Bigraph.cpp Bigraph.hpp and warplda.cpp files in src folder, to make warpLDA accept files in tsvd format.
This is the code base for our paper "Word2Sense: Sparse Interpretable Word Embeddings", accepted in 57th meeting of Association of Computational Linguistics (ACL 2019). We have made minor changes in WarpLDA codebase, specifically in files Bigraph.cpp Bigraph.hpp and warplda.cpp files in src folder, to make warpLDA accept files in tsvd format.
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Quality
Security
License
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Support
Word2Sense has a low active ecosystem.
It has 10 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 0 have been closed. On average issues are closed in 332 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Word2Sense is current.
Quality
Word2Sense has 0 bugs and 0 code smells.
Security
Word2Sense has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Word2Sense code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Word2Sense does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Word2Sense releases are not available. You will need to build from source code and install.
Word2Sense has no build file. You will be need to create the build yourself to build the component from source.
It has 1133 lines of code, 67 functions and 20 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Word2Sense and discovered the below as its top functions. This is intended to give you an instant insight into Word2Sense implemented functionality, and help decide if they suit your requirements.
- Infer a single document in a file
- Calculate the weighted sum of W
- Compute the gradient of the gradient matrix
- Compute the log - likelihood
- Calculate the pmi
- Multiply a matrix by row coefs
- Multiply a matrix
- Read counts matrix
- Load count vocabulary
- Find the closest n elements in the tensor
- Returns the closest n elements in the weight matrix
- Calculate the WSI performance
- Returns the indices of the closest contexts
- Compute the similarity between two words
- Return the index of the closest n elements
- Compute similarity between two words
- Writes a TSVD file
- Read an infer file
- Load a sparse matrix from a sparse file
- Calculates the JS divergence between two topics
- Creates a word embeddings
- Compute the similarity of the words in Semeval 2010
- Compute word2sense embedding
- Fills the inference function based on a set of entries
- Extracts the words from a Semeval 2010 dataset
- Save vocabulary to file
Get all kandi verified functions for this library.
Word2Sense Key Features
No Key Features are available at this moment for Word2Sense.
Word2Sense Examples and Code Snippets
No Code Snippets are available at this moment for Word2Sense.
Community Discussions
No Community Discussions are available at this moment for Word2Sense.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Word2Sense
You can download it from GitHub.
You can use Word2Sense like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Word2Sense like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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