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Detection and Classification of Financial Events from News Articles.
Subject area: Science,Engineering and Technology · Area of research: Natural Language Processing (NLP)
Abstract
Latest news on financial events like Debt, stock split or mergers and acquisitions has shown significant influence on the financial market, hence it became important to keep update of these events in a timely manner for trader and investors.There are various rule-base models introduced to detect and classify the events but it requires assistance from a financial domain expert for setting rules and it also requires to updates this rules periodicaly. There are also various deep learning, cluster based and classification based approaches attempted for event detection and classification,which show significant im- provement.In this work we aim to figure out efficient techniques to better detect and classify the events.
Keywords
Merger and Acquisition, Cluster, Rules, Deep Learning.
References
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[2] Gills Jacob,Veronique Hoste, ”SENTiVENT: enabling supervised infor- mation extraction of companyspecific events in economic and financial news”, Lauanguage and Translatin team,Ghent University 8 october 2021 belguim
[3] Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz and Noam Slonim, ”Financial Event Extraction Using WikipediaBased Weak Supervi- sion”,roceedings of the Second Workshop on Economics and Natural Language Processing, pages 10–15 Hong Kong, November 4.c 2019 Association for Computational Linguistics
[4] Els Lefever and Veronique Hoste ”A Classification-based Approach to Economic Event Detection in Dutch News Text”, T3 Language and Translation Technology Team Ghent University GrootBrittannielaan 45, 9000 Ghent, Belgium ¨ els.lefever, veronique.hoste
[5] Xin Liang1,2, Dawei Cheng3,4Fangzhou Yang4,Yifeng Luo1,2Weining Qian 1,2, Aoying Zhou1, ”F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification”, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20) Special Track on AI in FinTech.
[6] Varun Dograa,Sahil Vermab,*,Aman Singha,Kavitab,M N Talibc
[7] ,Mamoona Humayun ”Banking news-events representation and classi- fication with a novel hybrid model using DistilBERT and rule-based features Turkish Journal of Computer and Mathematics Education Vol.12 No.10 (2021), 3039-3054
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How to cite this paper
@article{1704114,
author = {Pratham Bhokare, Aniruddha Sonawane, Sparsh Sonawane, Prof. Hrushikesh J. Joshi},
title = {Detection and Classification of Financial Events from News Articles.},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {8},
pages = {171-180},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704114.pdf},
abstract = {Latest news on financial events like Debt, stock split or mergers and acquisitions has shown significant influence on the financial market, hence it became important to keep update of these events in a timely manner for trader and investors.There are various rule-base models introduced to detect and classify the events but it requires assistance from a financial domain expert for setting rules and it also requires to updates this rules periodicaly. There are also various deep learning, cluster based and classification based approaches attempted for event detection and classification,which show significant im- provement.In this work we aim to figure out efficient techniques to better detect and classify the events.},
keywords = {Merger and Acquisition, Cluster, Rules, Deep Learning.},
month = {February},
}