NTCIR FinNum Task data（Research Purpose Use of Test Collection）

Introduction

Numeral is the crucial part of financial documents. In order to understand the detail of opinions in financial documents, we should not only analyze the text, but also need to assay the numeric information in depth. Because of the informal writing style, analyzing social media data is more challenging than analyzing news and official documents. FinNum is a dataset for fine-grained numeral understanding in financial social media data - to identify the category of a numeral.

Task data

Language

English

Format

In provided dataset, participants will get "idx" (the index of the tweet), "id" (the id of the tweet), "target_num" (the target numeral), "category" (annotated result), "subcategory" (annotated result), and should rebuild the data via Stocktwits API. Note that, three categories (Indicator, Quantity, and Product/ Version number) do not have subcategory. Thus, the category and subcategory information are the same for these three categories.

Example

License

FinNum is licensed under the Creative Commons Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

Reference

Please cite the following paper when referring to the FinNum in academic publications and papers.

Chung-Chi Chen, Hen-Hsen Huang, Yow-Ting Shiue, and Hsin-Hsi Chen. 2018. Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting. In Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), Santiago, Chile.

Download

Click here to download the FinNum.

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Contact (for Data set)

NTCIR-14 FinNum Task Organizers

E-mail:
finnum [at] nlg.csie.ntu.edu.tw

Contact (IDR Office)

IDR Office, National Institute of Informatics

E-mail:
idr [at] nii.ac.jp
Address:
2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, JAPAN
(Please use e-mail for communicating with us if not otherwise specified.)