Results 61 to 70 of about 1,541,664 (157)
Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning
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]
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
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
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
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
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
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
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
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
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

