A Hybrid Al Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking

被引：4

作者：

Brito, Eduardo ^{[1
]}

Sifa, Rafet ^{[1
]}

Bauckhage, Christian ^{[1
]}

Loitz, Ruediger ^{[2
]}

Lohmeier, Uwe ^{[3
]}

Puent, Christin ^{[3
]}

机构：

[1] Fraunhofer IAIS, St Augustin, Germany

[2] PricewaterhouseCoopers GmbH WPG, Dusseldorf, Germany

[3] PricewaterhouseCoopers GmbH WPG, Hamburg, Germany

来源：

DOCENG'19: PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING 2019 | 2019年

关键词：

Document Analysis; Visualization; Information Extraction;

D O I：

10.1145/3342558.3345420

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a tool that enables benchmarking of companies by means of automatic extraction of key performance indicators from publicly available financial reports. Our tool monitors companies of interest so that their reports are automatically downloaded as soon as they become available. After tables and paragraphs have been extracted from the documents using a table detection module based on convolutional neural networks, relevant key performance indicators are stored in a central database. The extracted values are finally displayed in a user-friendly web application where the user can compare time series of key performance indicators against arbitrary available companies.

引用

页数：4

共 2 条

[1] Automatic Extraction of Performance Indicators from Financial Statements
Kamaruddin, Siti Sakira
Hamdan, Abdul Razak
Abu Bakar, Azuraliza
Nor, Fauzias Mat
2009 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS, VOLS 1 AND 2, 2009, : 337 - 339
[2] SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports
Nourbakhsh, Armineh
Ghassemi, Mohammad M.
Pomerville, Steven
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM '20), 2020, : 853 - 856

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