Results 111 to 120 of about 8,324 (219)

Unveiling Marketing Competencies for MBA Graduates Through Text Mining and Machine Learning Applications

Applied AI Letters, Volume 7, Issue 2, June 2026.
Industry Driven Competencies for MBA – Marketign Graduates. ABSTRACT In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers.
Latha Arumugham, Mohanamani Palanisamy, Maria Tresita Paul Vincent, Md Billal Hossain   +3 more
wiley   +1 more source

Heterogeneous Deep‐Ensemble Framework for Sentiment Analysis of Movie Reviews Based on Stacking and Voting

Concurrency and Computation: Practice and Experience, Volume 38, Issue 11, June 2026.
ABSTRACT Sentiment analysis of movie reviews reflects users' behavioral preferences and emotional responses to films, aiding in understanding audience needs and enhancing user experience. In recent years, deep ensemble learning has significantly improved sentiment polarity prediction by combining multiple deep models.
Hanzhe Cai, Ze Wu, Seena Joseph
wiley   +1 more source

Algorithm Design for Stock Price Prediction System Based on Distilbert Financial News Sentiment Analysis Model

Engineering Reports, Volume 8, Issue 6, June 2026.
This study develops a lightweight pre‐trained model for financial news sentiment analysis and stock price prediction. By integrating domain adaptation and multimodal fusion, it achieves real‐time efficiency without compromising accuracy, offering a practical solution for intelligent investment and quantitative trading systems. ABSTRACT As the frequency
Jingyu Zhang
wiley   +1 more source

Enhancing Diaspora Scientist Identification Through SMOTE‐Driven Machine Learning and Transformer‐Based Hybrid Models on Multi‐Institution Dataset

Engineering Reports, Volume 8, Issue 6, June 2026.
Flowchart of the proposed process. ABSTRACT This paper explores machine learning‐based discovery of Indian‐origin scientists working overseas with a fused multi‐institution dataset of 4280 records retrieved in seven research institutions: Ames Laboratory, AMNH, Broad Institute, DRI, NIDDK‐NIH, Salk Institute, and Van Andel Institute.
Shivani Gautam, Karan Bajaj, Shaily Jain, Durgesh Nandan, Chander Prabha, Arfat Ahmad Khan, Md. Siddikur Rahman   +6 more
wiley   +1 more source

Patent Value Evaluation and Intelligent Claim Generation via Incremental Pretraining of Large Language Models With Patent Texts

Engineering Reports, Volume 8, Issue 6, June 2026.
The purpose of this study is to solve the problems that patent value evaluation is difficult to describe the depth of technical semantics, and the claim generation lacks structure and legal controllability. ABSTRACT In order to improve the practicability of patent value evaluation and claim generation in intellectual property scenarios, this study ...
Jiao Wang, Quan Gao, Yaping Wu, Jiusong Chen, Dejun Miao   +4 more
wiley   +1 more source

Comparative AI‐Based Framework for Name‐Based Demographic Inference in the Indian Subcontinent

Engineering Reports, Volume 8, Issue 6, June 2026.
A multi‐task framework of five AI models (SVM, XGBoost, LightGBM, BiLSTM, and XLM‐RoBERTa) infers nationality, religion, and gender from personal names across seven Indian subcontinent countries. Character‐level TF‐IDF with SVM achieves the highest accuracy: 83.23% for nationality, 92.94% for religion, and 92.67% for gender across 7581 names.
Sherin Sultana, Zaed Bin Monir Atib, Md. Omur Faruk Redoy, Md. Ataur Rahman, Mohammad Shorif Uddin, Md. Tarek Habib   +5 more
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

How Stock Market Participants Use Generative Artificial Intelligence: Evidence from User‐Platform Interaction Data

Journal of Accounting Research, Volume 64, Issue 3, Page 1375-1426, June 2026.
ABSTRACT This paper provides descriptive evidence on how stock market participants use Generative Artificial Intelligence (GenAI) to process investment‐related information. Using a data set of 1.7 million stock‐related queries from one of China's largest GenAI platforms during the first half of 2024, we document that user queries address a wide range ...
FRANK ECKER, XITONG LI, YILAN LI, FAN WU
wiley   +1 more source

New Heuristics for Stable LDA Parameter Search

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT The Latent Dirichlet Allocation (LDA) algorithm automatically extracts latent topics from a textual corpus, but configuring its parameters can be difficult and time‐consuming. Optimization algorithms can help determine the best parameters, but not necessarily the optimal ones.
Simon‐Olivier Harel, Erick Velazquez‐Godinez, Sylvie Ratté   +2 more
wiley   +1 more source

A spam detection model based on the discriminative TF-IDF belief rule base. [PDF]

Sci Rep
Yang X, Zhou W, Duan X, Ma N, Wang Y.
europepmc   +1 more source