extractreq 0.0.2

Berikut ini deskripsi singkat pembuatan ekstraksi kebutuhan

Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing

Author	Rakha Asyrofi
Version	0.0.1
Updated	2021-09-12

overview

live_demo 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. Please kindly cite the following paper when you use this tool. It would also be appreciated if you send me a courtesy website and google scholar, 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

Look how easy it is to use:

from extractreq.partof_modul1 import partOf
myPart = partOf(inputData= 'dataset.xlsx', # dataset
                dataStanford= 'stanford-corenlp-4.0.0',  #diambil dari https://stanfordnlp.github.io/CoreNLP/download.html
                urlStanford= 'http://corenlp.run/')
myPart.preprocessing()
myPart.fulldataset(inputData= '2005 - Grid 3D')
myPart.parsing(data)
myPart.stanfordPostag(data)

Check out: https://youtu.be/-d96h9mhh9s

Features

• Dapat digunakan untuk mengekstraksi kebergantungan kebutuhan
• Dapat digunakan untuk mencari relasi kebergantungan kebutuhan

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: [e-mail]

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