Results 101 to 110 of about 21,648 (265)

MMLTC: A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

Computational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley   +1 more source

SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
This paper presents a first attempt of an application-driven evaluation exercise of WSD. We used a CLIR testbed from the Cross Lingual Evaluation Forum. The expansion, indexing and retrieval strategies where fixed by the organizers. The participants had to return both the topics and documents tagged with WordNet 1.6 word senses.
Agirre, E., Lopez de Lacalle, O., Magnini, B., Otegi, A., Rigau, G., Vossen, P.T.J.M.   +5 more
openaire   +3 more sources

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, Volume 45, Issue 2, Page 458-469, March 2026.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Overview of the proposed scoping review framework for Explainable AI (XAI) in hate speech moderation. The diagram maps the end to end structure of the study, beginning with the socio technical problem framing and research questions, followed by PRISMA guided methodology, dataset and model evaluation criteria, and comparative analysis of XAI methods for
Muhammad Deedahwar Mazhar Qureshi, M. Atif Qureshi, Wael Rashwan   +2 more
wiley   +1 more source

Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection

Journal of Biomedical Semantics
Background The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject.
Abdullateef I. Almudaifer, Whitney Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren A. Walter, Ellen F. Eaton, Sue S. Feldman, John D. Osborne   +11 more
doaj   +1 more source

ADeCNN: An Improved Model for Aspect-Level Sentiment Analysis Based on Deformable CNN and Attention

IEEE Access, 2020
Aspect-level sentiment analysis aims at identifying the sentiment polarity of target in the context. In most of the previous sentiment analysis models, there usually exists the problem of insufficient extraction capability of local features and long ...
Jie Zhou, Siqi Jin, Xinli Huang
doaj   +1 more source

SemEval-2013 Task 5: Evaluating Phrasal Semantics [PDF]

, 2013
This paper describes the SemEval-2013 Task 5: “Evaluating Phrasal Semantics”. Its first subtask is about computing the semantic similarity of words and compositional phrases of minimal length. The second one addresses deciding the compositionality of phrases in a given context.
Korkontzelos, I, Zesch, T, ZANZOTTO, FABIO MASSIMO, Biemann, C.   +3 more
openaire   +3 more sources

Enhanced Sentiment Intensity Regression Through LoRA Fine-Tuning on Llama 3

IEEE Access
Sentiment analysis and emotion detection are critical research areas in natural language processing (NLP), offering benefits to numerous downstream tasks.
Diefan Lin, Yi Wen, Weishi Wang, Yan Su
doaj   +1 more source

A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis

Applied Sciences, 2022
Since some sentiment words have similar syntactic and semantic features in the corpus, existing pre-trained word embeddings always perform poorly in sentiment analysis tasks.
Qizhi Li, Xianyong Li, Yajun Du, Yongquan Fan, Xiaoliang Chen   +4 more
doaj   +1 more source

Exploring Metaphorical Senses and Word Representations for Identifying Metonyms [PDF]

, 2015
A metonym is a word with a figurative meaning, similar to a metaphor. Because metonyms are closely related to metaphors, we apply features that are used successfully for metaphor recognition to the task of detecting metonyms. On the ACL SemEval 2007 Task
Gelernter, Judith, Zhang, Wei
core