معرفی شرکت ها


coarij-0.2.8


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Corpus of Annual Reports in Japan
ویژگی مقدار
سیستم عامل -
نام فایل coarij-0.2.8
نام coarij
نسخه کتابخانه 0.2.8
نگهدارنده []
ایمیل نگهدارنده []
نویسنده icoxfog417
ایمیل نویسنده icoxfog417@yahoo.co.jp
آدرس صفحه اصلی https://github.com/chakki-works/CoARiJ
آدرس اینترنتی https://pypi.org/project/coarij/
مجوز MIT
# CoARiJ: Corpus of Annual Reports in Japan [![PyPI version](https://badge.fury.io/py/coarij.svg)](https://badge.fury.io/py/coarij) [![Build Status](https://travis-ci.org/chakki-works/coarij.svg?branch=master)](https://travis-ci.org/chakki-works/coarij) [![codecov](https://codecov.io/gh/chakki-works/coarij/branch/master/graph/badge.svg)](https://codecov.io/gh/chakki-works/coarij) We organized Japanese financial reports to encourage applying NLP techniques to financial analytics. ## Dataset The corpora are separated to each financial years. master version. | fiscal_year | Raw file version (F) | Text extracted version (E) | |-------------|-------------------|-----------------| | 2014 | [.zip (9.3GB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_2014.zip) | [.zip (269.9MB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_extracted_2014.zip) | | 2015 | [.zip (9.8GB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_2015.zip) | [.zip (291.1MB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_extracted_2015.zip) | | 2016 | [.zip (10.2GB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_2016.zip) | [.zip (334.7MB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_extracted_2016.zip) | | 2017 | [.zip (9.1GB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_2017.zip) | [.zip (309.4MB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_extracted_2017.zip) | | 2018 | [.zip (10.5GB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_2018.zip) | [.zip (260.9MB)](https://s3-ap-northeast-1.amazonaws.com/chakki.esg.financial.jp/dataset/release/chakki_esg_financial_extracted_2018.zip) | * financial data is from [決算短信情報](http://db-ec.jpx.co.jp/category/C027/). * We use non-cosolidated data if it exist. * stock data is from [月間相場表(内国株式)](http://db-ec.jpx.co.jp/category/C021/STAT1002.html). * `close` is fiscal period end and `open` is 1 year before of it. ### Past release * [v1.0](https://github.com/chakki-works/CoARiJ/blob/master/releases/v1.0.md) ### Statistics | fiscal_year | number_of_reports | has_csr_reports | has_financial_data | has_stock_data | |-------------|-------------------|-----------------|--------------------|----------------| | 2014 | 3,724 | 92 | 3,583 | 3,595 | | 2015 | 3,870 | 96 | 3,725 | 3,751 | | 2016 | 4,066 | 97 | 3,924 | 3,941 | | 2017 | 3,578 | 89 | 3,441 | 3,472 | | 2018 | 3,513 | 70 | 2,893 | 3,413 | ### File structure #### Raw file version (`--kind F`) The structure of dataset is following. ``` chakki_esg_financial_{year}.zip └──{year} ├── documents.csv └── docs/ ``` `docs` includes XBRL and PDF file. * XBRL file of annual reports (files are retrieved from [EDINET](http://disclosure.edinet-fsa.go.jp/)). * PDF file of CSR reports (additional content). `documents.csv` has metadata like following. Please refer the detail at [Wiki](https://github.com/chakki-works/CoARiJ/wiki/Columns-on-the-file). * edinet_code: `E0000X` * filer_name: `XXX株式会社` * fiscal_year: `201X` * fiscal_period: `FY` * doc_path: `docs/S000000X.xbrl` * csr_path: `docs/E0000X_201X_JP_36.pdf` #### Text extracted version (`--kind E`) Text extracted version includes `txt` files that match each part of an annual report. The extracted parts are defined at [`xbrr`](https://github.com/chakki-works/xbrr/blob/master/docs/edinet.md). ``` chakki_esg_financial_{year}_extracted.zip └──{year} ├── documents.csv └── docs/ ``` ## Tool You can download dataset by command line tool. ``` pip install coarij ``` Please refer the usage by `--` (using [fire](https://github.com/google/python-fire)). ``` coarij -- ``` Example command. ```bash # Download raw file version dataset of 2014. coarij download --kind F --year 2014 # Extract business.overview_of_result part of TIS.Inc (sec code=3626). coarij extract business.overview_of_result --sec_code 3626 # Tokenize text by Janome (`janome` or `sudachi` is supported). pip install janome coarij tokenize --tokenizer janome # Show tokenized result (words are separated by \t). head -n 5 data/processed/2014/docs/S100552V_business_overview_of_result_tokenized.txt 1 【 業績 等 の 概要 】 ( 1 ) 業績 当 連結 会計 年度 における 我が国 経済 は 、 消費 税率 引上げ に 伴う 駆け込み 需要 の 反動 や 海外 景気 動向 に対する 先行き 懸念 等 から 弱い 動き も 見 られ まし た が 、 企業 収益 の 改善 等 により 全体 ... ``` If you want to download latest dataset, please specify `--version master` when download the data. * About the parsable part, please refer the [`xbrr`](https://github.com/chakki-works/xbrr/blob/master/docs/edinet.md). You can use `Ledger` to select your necessary file from overall CoARiJ dataset. ```python from coarij.storage import Storage storage = Storage("your/data/directory") ledger = storage.get_ledger() collected = ledger.collect(edinet_code="E00021") ```


نحوه نصب


نصب پکیج whl coarij-0.2.8:

    pip install coarij-0.2.8.whl


نصب پکیج tar.gz coarij-0.2.8:

    pip install coarij-0.2.8.tar.gz