Big data text mining in the financial sector

Bach, Mirjana Pejić; Krstić, Živko; Seljan, Sanja

doi:10.4324/9780429024061-6

Cited by 4 publications

(1 citation statement)

References 1 publication

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“…Users may now express their opinions and make them visible to anybody on the internet thanks to social media. Based on that, enterprises can improve their products, services, and marketing strategies, to detect the latest trends opportunities or measure the effectiveness of their marketing activities (Pejić Bach et al, 2019). Currently, the community of scientists has much research on opinion mining methods and the applications of opinion mining at many different levels.…”

Section: Customer Opinion Mining In Online Servicesmentioning

confidence: 99%

Sentiment Analysis of Customer Feedback in Online Food Ordering Services

Nguyen

2021

Business Systems Research Journal

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Background: E-commerce websites have been established expressly as useful online communication platforms, which is rather significant. Through them, users can easily perform online transactions such as shopping or ordering food and sharing their experiences or feedback. Objectives: Customers’ views and sentiments are also analyzed by businesses to assess consumer behavior or a point of view on certain products or services. Methods/Approach: This research proposes a method to extract customers’ opinions and analyse sentiment based on a collected dataset, including 236,867 online Vietnamese reviews published from 2011 to 2020 on foody.vn and diadiemanuong.com. Then, machine learning models were applied and assessed to choose the optimal model. Results: The proposed approach has an accuracy of up to 91.5 percent, according to experimental study findings. Conclusions: The research results can help enterprise managers and service providers get insight into customers’ satisfaction with their products or services and understand their feelings so that they can make adjustments and correct business decisions. It also helps food e-commerce managers ensure a better e-commerce service design and delivery.

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Section: Customer Opinion Mining In Online Servicesmentioning

confidence: 99%

Sentiment Analysis of Customer Feedback in Online Food Ordering Services

Nguyen

2021

Business Systems Research Journal

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Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies

Pisoni,

Molnár,

Tarcsi

2023

J Knowl Econ

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In today’s fast-paced financial industry, knowledge management and data-driven decision making have become essential for the success of financial technology (FinTech) companies. Big data (BD) is a prevalent phenomenon that can be found across many industries, including finance. Despite its complexity and difficulty to comprehend, big data is a critical component of financial services enterprises and technology architectures. We examine BD from various aspects, considering data science (DS) techniques and methodologies that can be applied during the operation of an enterprise. Our aim is to provide an overview of knowledge management (KM) practices and data analysis (DA) strategies and techniques in the daily operations of financial companies. We address the role of knowledge management, data analytics in a financial institution. The paper demonstrates financial institutions’ enablement for new services resulting from technological advancements.

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Tone of language, financial disclosure, and earnings management: a textual analysis of form 20-F

Luo

2022

Financ Innov

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This study investigates the relationship between the tone of financial disclosures and managers’ earnings management behavior using Form 20-F filings of Chinese firms listed in the U.S. during 2002–2014. The results show that the proportion of positive, uncertain, or modal words used in financial disclosures is positively related to corporate earnings management, implying that managers attempt to conceal earnings management behavior by manipulating the tone of their financial reports. In addition, robustness tests are conducted using an alternative proxy for earnings management that considers the effects of the financial crisis and separately examines the information and non-information technology industries. The results suggest that the tone used in financial disclosures has informative value, and textual analysis can be an effective tool for identifying earnings management.

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Big data text mining in the financial sector

Cited by 4 publications

References 1 publication

Sentiment Analysis of Customer Feedback in Online Food Ordering Services

Sentiment Analysis of Customer Feedback in Online Food Ordering Services

Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies

Tone of language, financial disclosure, and earnings management: a textual analysis of form 20-F

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