Berikut ini deskripsi singkat pembuatan ekstraksi kebutuhan
Project description
Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing
Author | Rakha Asyrofi |
---|---|
Version | 0.0.3 |
Updated | 2021-10-09 |
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
How easy to use
ekspart module:
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:
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:
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:
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/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file extractreq-0.0.9.tar.gz
.
File metadata
- Download URL: extractreq-0.0.9.tar.gz
- Upload date:
- Size: 19.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f566e9a23549bfd66a5626b32f5008aa4744ffcdbf253509dd06dfd202fc824 |
|
MD5 | 3c4ec9d4ef1a700cbc98664742c0e862 |
|
BLAKE2b-256 | 5e5765e92cb3cf1597306aecd305c13dfacfd20ea6962d005dd5409c5a89e670 |
File details
Details for the file extractreq-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: extractreq-0.0.9-py3-none-any.whl
- Upload date:
- Size: 24.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f4f13a557497479b5815fd1ff090504e36443fb7ba6b8c9cff7cef27076dbac0 |
|
MD5 | 312b0d22a85022f463efa50a6130cdfa |
|
BLAKE2b-256 | c8b13f63b21ee7c407455cad375417ae9506bba4f309cfaee7fda91f43326163 |