Cover Image

GRUvader: Sentiment-Informed Stock Market Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mamillapalli, Akhila, Ogunleye, Bayode, Inacio, Sonia Timoteo, Shobayo, Olamilekan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Applications H.3.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market
by: John, Jeen Mary, et al.
Published: (2024)

Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach
by: Shobayo, Olamilekan, et al.
Published: (2024)

Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
by: Ogunleye, Bayode, et al.
Published: (2024)

An Optimal House Price Prediction Algorithm: XGBoost
by: Sharma, Hemlata, et al.
Published: (2024)

The Use of a Large Language Model for Cyberbullying Detection
by: Ogunleye, Bayode, et al.
Published: (2024)

Analysing the Influence of Macroeconomic Factors on Credit Risk in the UK Banking Sector
by: Sharma, Hemlata, et al.
Published: (2024)

Comparison of Topic Modelling Approaches in the Banking Context
by: Ogunleye, Bayode, et al.
Published: (2024)

A Systematic Review of Generative AI for Teaching and Learning Practice
by: Ogunleye, Bayode, et al.
Published: (2024)

Document clustering with evolved multiword search queries
by: Hirsch, Laurence, et al.
Published: (2025)

Higher education assessment practice in the era of generative AI tools
by: Ogunleye, Bayode, et al.
Published: (2024)

OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
by: Agarwal, Prabhat, et al.
Published: (2024)

LiRank: Industrial Large Scale Ranking Models at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)

Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
by: Gebre, Binyam, et al.
Published: (2024)

A Comparative Study of Hybrid Models in Health Misinformation Text Classification
by: Sikosana, Mkululi, et al.
Published: (2024)

InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
by: Khandagale, Sujay, et al.
Published: (2025)

Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
by: Ahn, Seokho, et al.
Published: (2026)

Beyond GeneGPT: A Multi-Agent Architecture with Open-Source LLMs for Enhanced Genomic Question Answering
by: Chen, Haodong, et al.
Published: (2025)

ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation
by: Zhang, Peiyan, et al.
Published: (2026)

Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
by: Lu, Lili, et al.
Published: (2025)

Query Performance Prediction using Relevance Judgments Generated by Large Language Models
by: Meng, Chuan, et al.
Published: (2024)

Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
by: Hu, Zhengmian, et al.
Published: (2026)

Ranked List Truncation for Large Language Model-based Re-Ranking
by: Meng, Chuan, et al.
Published: (2024)

Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)

Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
by: Mekonnen, Kidist Amde, et al.
Published: (2025)

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
by: Meng, Chuan, et al.
Published: (2025)

Re-Rankers as Relevance Judges
by: Meng, Chuan, et al.
Published: (2026)

Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval
by: Xion, William, et al.
Published: (2026)

STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance Prediction
by: Wang, Xiaoxiao, et al.
Published: (2026)

Course Recommender Systems Need to Consider the Job Market
by: Frej, Jibril, et al.
Published: (2024)

ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge
by: He, Chaoyue, et al.
Published: (2025)

Low-pass Personalized Subgraph Federated Recommendation
by: Sim, Wooseok, et al.
Published: (2026)

DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube
by: Baktash, Jawid Ahmad, et al.
Published: (2026)

Persistent Identity in AI Agents: A Multi-Anchor Architecture for Resilient Memory and Continuity
by: Menon, Prahlad G.
Published: (2026)

Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing
by: Mutsaddi, Atharva, et al.
Published: (2025)

SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
by: Bhardwaj, Varun Pratap
Published: (2026)

RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation
by: Zhang, Guilin, et al.
Published: (2026)

GRETEL: A Goal-driven Retrieval and Execution-based Trial Framework for LLM Tool Selection Enhancing
by: Wu, Zongze, et al.
Published: (2025)

D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents
by: Boeglin, Michel, et al.
Published: (2025)

A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
by: De Kerpel, Lukas, et al.
Published: (2026)

When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
by: Zhang, Zhicheng, et al.
Published: (2026)