extractreq 0.0.9
Berikut ini deskripsi singkat pembuatan ekstraksi kebutuhan
Requires Python: >=3.6

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# Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing

Author  | [Rakha Asyrofi](https://scholar.google.com/citations?user=WN9T5UUAAAAJ&hl=id&oi=ao)
 -------|-----------
Version | 0.0.3
Updated | 2021-10-09

# overview
[live_demo](https://share.streamlit.io/asyrofist/extraction-requirement/main/app.py) How to make Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing

Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing described in our Proceeding Conference at [ISRITI2020](https://ieeexplore.ieee.org/document/9315489). Please kindly cite the following paper when you use this tool. It would also be appreciated if you send me a courtesy [website](https://www.researchgate.net/profile/Rakha_Asyrofi) and [google scholar](https://scholar.google.com/citations?user=WN9T5UUAAAAJ&hl=id&oi=ao), so I could survey what kind of tasks the tool is used for. 

Developed by Asyrofi (c) 2021

## How to install

installation using pypi:

    pip install extractreq

## How easy to use

### ekspart module:

```python
from extractreq.modul_ekspart import partOf
grd_param = "grd.xlsx"
file_param = "test.xlsx"
srs_param = "indeks_parameter"

# output_mode = ['pertama', 'kedua', 'ketiga', 'stat']
partOf().extractPart(grd_param, file_param, srs_param, 'pertama')
```
Check out: https://youtu.be/-d96h9mhh9s

### Stanford modul:
```python
from extractreq.modul_stanfordSent import stanford_clause
sent = "I have friends, but nobody cares me"
stanford_clause().get_clause_list(sent)
# stanford_clause(file_param).main(srs_param)
```

### Spacy modul:
```python
import spacy
from extractreq.modul_spacySent import spacyClause
nlp = spacy.load('en_core_web_sm')
doc = nlp("I love you 300, but I don't like you")
spacyClause().extractData(doc)
# spacyClause(file_param).main(srs_param)
```

### Triplet modul:
```python
from extractreq.modul_triplet import extractNlp
sent = "I have friends, but nobody cares me"
# output_mode = ['parse_tree', 'spo', 'result']
extractNlp().triplet_extraction(sent, 'parse_tree')
# extractNlp(file_param).main(srs_param, output)
```


## Features
- Dapat digunakan untuk mengekstraksi kebergantungan kebutuhan
- Dapat digunakan untuk mencari relasi kebergantungan kebutuhan
- Dapat digunakan memisahkan kalusa dari setiap kalimat menggunakan stanford, spacy
- Dapat memisahkan triplet dari sebua kalimat

## Contribute

- Issue Tracker: https://github.com/asyrofist/Extraction-Requirement/issues
- Source Code: https://github.com/asyrofist/Extraction-Requirement

## Support

If you are having issues, please let us know. We have a mailing list located at: asyrofi.19051@mhs.its.ac.id

## Citation

If you find this repository useful for your research, please use the following.

```
@INPROCEEDINGS{9315489,  author={Asyrofi, Rakha and Siahaan, Daniel Oranova and Priyadi, Yudi},  
booktitle={2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)},   
title={Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing},   
year={2020},  
volume={},  
number={},  
pages={332-337},  
doi={10.1109/ISRITI51436.2020.9315489}}
```

## License

The project is licensed under the MIT License


## Reference

[1] https://github.com/rahulkg31/sentence-to-clauses

[2] https://subscription.packtpub.com/book/data/9781838987312/2/ch02lvl1sec13/

[3] https://github.com/kj-lai/SentenceTriplet

[4] https://youtu.be/-d96h9mhh9s