TextFeature
transforms unstructured text to feature vector using word2vec, lexicon and ...
Directories
- test: This directory contains an jupyter Notebook to test and debug code easily
Requirements
This library uses modules below:
- gensim
- nltk
- numpy
- pandas
- ... (more requirements is needed in future)
Functions
text_w2v()
...
- word_tokens:
text_l2v()
...
- word_tokens:
- lexicon_name:
- vector_size:
1 maintainer
Metadata
1 maintainer
Release files for textfeature 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| textfeature-0.0.10.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| textfeature-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / textfeature-0.0.10.tar.gz
| Download URL | textfeature-0.0.10.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
|
Release files / textfeature-0.0.10-py3-none-any.whl
| Download URL | textfeature-0.0.10-py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c9f31ddb5e0220f625a70ac97a2dff2a16f4670731b923c1c1879d4253f1c8e3
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
|
