Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
POSPair Word Embedding is created by modifying Gensim library according to POSPair, generating more meaningful and efficient word embeddings.
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1 maintainer
Release files for POSPairWordEmbeddings 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| POSPairWordEmbeddings-0.0.4.tar.gz | 580.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-64 | Details |
Total release size: 1.3 MB
Release files / POSPairWordEmbeddings-0.0.4.tar.gz
| Download URL | POSPairWordEmbeddings-0.0.4.tar.gz |
|---|---|
| Size | 580.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.2
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Release files / POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl
| Download URL | POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl |
|---|---|
| Size | 707.6 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-64 |
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SHA-256 checksum How to use checksums |
af1dfd4b734b94dfbed71582c4f553b9beee20548988591e2334ff8dce72cc3f
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.2
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