Quantum machine learning for finance ICCAD special session paper

M Pistoia, SF Ahmad, A Ajagekar, A Buts… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade, and achieve disruptive impact on numerous industry sectors …

Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks

A Thakkar, K Chaudhari - Applied Soft Computing, 2020 - Elsevier
The financial market consists of various money-making strategies wherein trading through a
stock market is an important example. The complex non-linear behaviors of volatile stock …

The study on the text classification for financial news based on partial information

W Zhao, G Zhang, G Yuan, J Liu, H Shan… - IEEE Access, 2020 - ieeexplore.ieee.org
The goal of this paper is to conduct the study on the text classification for financial news
based on partial information. By a fact that an indispensable step for the efficient use of topic …

Deep learning approaches for sentiment analysis on financial microblog dataset

S Yıldırım, D Jothimani, C Kavaklioğlu… - … Conference on Big …, 2019 - ieeexplore.ieee.org
Sentiment analysis of financial news and social media messages along with movement of
stock prices could aid in improving the forecasting accuracy of stock prices. In this regard …

STID-Prompt: Prompt learning for sentiment-topic-importance detection in financial news

SB Sun, X Pan, T Yang, J Gao - Knowledge-Based Systems, 2024 - Elsevier
With the development of the Internet and the financial industry, the analysis and judgement
of financial news has become increasingly important. Common tasks in this area include …

Financial data analysis application via multi-strategy text processing

H Zhu - arXiv preprint arXiv:2204.11394, 2022 - arxiv.org
Maintaining financial system stability is critical to economic development, and early
identification of risks and opportunities is essential. The financial industry contains a wide …

Recognition of Chinese legal elements based on transfer learning and semantic relevance

D Zhang, H Zhang, L Wang, J Cui… - … and Mobile Computing, 2022 - Wiley Online Library
In recent years, LegalAI has rapidly attracted the attention of AI researchers and legal
professionals alike. Elements of LegalAI are known as legal elements. These elements can …

Classifying Indonesian Cyber Crime Cases under ITE Law Using a Hybrid of Mutual Information and Support Vector Machine.

RF Rahmat, AH Aziira, S Purnamawati… - … Journal of Safety & …, 2023 - search.ebscohost.com
In Indonesia, the process of identifying and categorizing cyberlaw infringements traditionally
involves manual procedures administered by experts, lawyers, or law enforcement …

Handling data imbalance using CNN and LSTM in financial news sentiment analysis

M Omarkhan, G Kissymova… - 2021 16th international …, 2021 - ieeexplore.ieee.org
With a speedy development in Natural Language processing, the financial sector meets the
demand of analyzing a large quantity of financial text data. Several recent research has …

A new semantic relations-based hybrid approach for implicit aspect identification in sentiment analysis

H El Hannach, M Benkhalifa - Journal of Information & Knowledge …, 2020 - World Scientific
Within the next few years, sentiment analysis or opinion mining is set to become an
important component of real-world applications for product manufacturers, e-commerce …