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# A Python library to parse bibliographic references | ||
# A Python library for Rule-Based reference parsing | ||
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refparse is an effective tool designed to extract structured data from unformatted reference strings. It is capable of parsing reference strings from **Web of Science, Scopus and CSSCI**. | ||
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## Install | ||
Ensure Python 3.9 or higher is installed on your device. | ||
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```console | ||
$ pip install refparse | ||
``` | ||
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## Basic Usage | ||
```python | ||
>>> import refparse | ||
>>> source = "scopus" | ||
>>> ref = "LeCun Y., Bengio Y., Hinton G., Deep learning, Nature, 521, pp. 436-444, (2015)" | ||
>>> print(refparse.parse(ref, source)) | ||
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{'author': 'LeCun Y., Bengio Y., Hinton G.', | ||
'title': 'Deep learning', | ||
'source': 'Nature', | ||
'volume': '521', | ||
'issue': None, | ||
'page': '436-444', | ||
'year': '2015'} | ||
``` | ||
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## Return Fields | ||
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| | Web of Science | Scopus | CSSCI* | | ||
| :---: | :---: | :---: | :---: | | ||
| author | ✓ | ✓ | | | ||
| title | | ✓ | | | ||
| source | ✓ | ✓ | | | ||
| volume | ✓ | ✓ | | | ||
| issue | | ✓ | | | ||
| page | ✓ | ✓ | | | ||
| year | ✓ | ✓ | | | ||
| doi | ✓ | | | | ||
| identifier except doi | | | ✓ | | ||
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\* CSSCI will return differently depending on reference type. |