Results 61 to 70 of about 1,541,664 (157)

Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning

open access: yesExpert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT The opioid overdose epidemic constitutes a critical public health crisis, necessitating advanced surveillance tools to enable timely intervention. Social media platforms provide a real‐time source of information on drug‐related behaviours. However, extracting structured knowledge from their informal, slang‐heavy and fragmented text presents ...
Muhammad Ahmad   +4 more
wiley   +1 more source

Quotient Complexity of Bifix-, Factor-, and Subword-free Regular Languages [PDF]

open access: yes, 2014
A language L is prefix-free if whenever words u and v are in L and u is a prefix of v, then u = v. Suffix-, factor-, and subword-free languages are defined similarly, where by “subword ” we mean “subsequence”, and a language is bifix-free if it is both ...
Janusz Brzozowski   +11 more
core   +1 more source

From Language Identification to Topic Modelling: A Fully Integrated Pipeline for Multilingual Aspect‐Based Sentiment Analysis and Component‐Level Insights

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The rapid expansion of multilingual digital platforms has made the accurate analysis of user‐generated content across different languages and cultural contexts increasingly essential. However, existing methods struggle to maintain consistent performance due to linguistic diversity, morphological complexity, and structural variations in text ...
Abdulkadir Şeker
wiley   +1 more source

A Hybrid Deep Learning Model Based on Local and Global Features for Amazon Product Reviews: An Optimal ALBERT-Cascade CNN Approach

open access: yesApplied Sciences
Natural Language Processing (NLP) is a valuable technology and business topic as it helps turn data into useful information with the spread of digital information.
Israa Mustafa Abbas   +4 more
doaj   +1 more source

Proper 3‐realizability and second cohomology of groups on two generators of finite order

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 7, July 2026.
Abstract Given an (infinite) finitely generated group G$G$, its first cohomology group H1(G;ZG)$H^1(G;{\mathbb {Z}}G)$ is free abelian and “counts” the number of ends of G$G$ which equals 1+rank(H1(G;ZG))$1 + rank (H^1(G;{\mathbb {Z}}G))$. The question whether or not for every finitely presented group G$G$ its second cohomology group H2(G;ZG)$H^2(G ...
Francisco F. Lasheras, R. Roy
wiley   +1 more source

Performance Comparison of Static and Contextual Embedding Models for Opinion Mining

open access: yesIEEE Access
Transformer-based language models are widely adopted for sentiment analysis due to their strong contextual representation capabilities; however, their high computational complexity can limit practical deployment in resource-constrained environments. This
Dharmendra Dangi   +4 more
doaj   +1 more source

User‐Based Evaluation of Explainability Techniques for Misogyny Detection in Code‐Mixed Hindi–English

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
In this work, we have performed human‐based evaluation of three post hoc explainability techniques, Local Interpretable Model Agnostic Explanations (LIME), Shapely Additive Explanations (SHAP), and integrated Gradients (IG) for a multilingual Bidirectional Encoder Representations from Transformers (mBERT) based binary and multi‐label misogyny ...
Sargam Yadav   +2 more
wiley   +1 more source

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

open access: yesConcurrency 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

The Evolution of AI: From Classical Machine Learning to Modern Large Language Models

open access: yesIEEE Access
This paper provides a comprehensive review of the evolution of artificial intelligence from early symbolic, rule-based systems to modern large language models (LLMs) and retrieval-augmented generation (RAG) architectures.
Rahul Mundlamuri   +3 more
doaj   +1 more source

Complexity, Governance and Networks: Introduction to the Inaugural Issue

open access: yes, 2014
From the introduction: 1. Yet Another Journal? Why is it necessary to publish a new journal about complexity, governance, and networks? There has been an increasing interest in complexity, governance, and network studies in recent decades.
Morçöl, Göktuğ   +2 more
core   +1 more source

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