Results 101 to 110 of about 32,474 (200)

DILIConsult: A Multi‐Agent Large Language Model Framework for Evaluating Drug‐Induced Liver Injury in ICU Settings

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, Volume 46, Issue 4, April 2026.
ABSTRACT Background Large language models (LLMs) can support clinical decision‐making by parsing databases and extracting relevant information. However, evaluating drug‐induced liver injury (DILI) often requires processing lengthy clinical histories alongside reference materials like LiverTox, which can exceed context lengths of conventional LLMs ...
Alfred Zheng Ting Ho, Jeren Zheng Feng Law, Aiwen Wang, Daniel Yan Zheng Lim, Jasmine Chiat Ling Ong   +4 more
wiley   +1 more source

Sentiment Analysis on Social Media Using Long Short-Term Memory and Word2Vec Feature Expansion Methods with Adam Optimization

Khazanah Informatika
Twitter is one of Indonesia's most popular social media, so it has many users. The intensity of Twitter use can be used to carry out sentiment analysis related to topics being widely discussed, especially regarding the 2024 Indonesian presidential ...
Sanabila Khoirunnisa, Erwin Budi Setiawan   +1 more
doaj   +1 more source

Network medicine and systems pharmacology approaches to predicting adverse drug effects

British Journal of Pharmacology, Volume 183, Issue 8, Page 1627-1639, April 2026.
Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events.
Alessio Funari, Giulia Fiscon, Paola Paci   +2 more
wiley   +1 more source

Word Embedding Features to Improve Machine Learning Performance in Sentiment Analysis of the Honor of Kings Game

Sistemasi: Jurnal Sistem Informasi
The rapid growth of social media has encouraged an increasing number of studies on sentiment analysis to better understand public perceptions and opinions.
Abdul Harris, Agus Nugroho, Yudi Novianto, Jasmir Jasmir, Dhea Fatma   +4 more
doaj   +1 more source

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

Paraphrasensuche mittels word2vec und der Word Mover’s Distance im Altgriechischen

Digital Classics Online, 2017
To find receptions of Plato‘s work within the ancient Greek literature, automatic methods would be a useful assistance. Unfortunately, such methods are often knowledge-based and thus restricted to extensively annotated texts, which are not available to a
Marcus Pöckelmann, Jörg Ritter, Eva Wöckener-Gade, Charlotte Schubert   +3 more
doaj   +1 more source

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis

Data Science and Engineering, 2017
With the rapid growth of social media, sentiment analysis has received growing attention from both academic and industrial fields. One line of researches for sentiment analysis is to feed bag-of-words (BOW) text representation into classifiers.
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du   +4 more
doaj   +1 more source

word2vec Parameter Learning Explained

, 2014
The word2vec model and application by Mikolov et al. have attracted a great amount of attention in recent two years. The vector representations of words learned by word2vec models have been shown to carry semantic meanings and are useful in various NLP tasks.
openaire   +2 more sources

Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics

Proceedings
Timely and precise acquisition of urban functional zone (UFZ) information is crucial for effective urban planning, management, and resource allocation.
Daoyou Zhu, Xu Dang, Wenjia Shi, Yixiang Chen, Wenmei Li   +4 more
doaj   +1 more source

Automatic Argumentative-Zoning Using Word2vec

, 2017
In comparison with document summarization on the articles from social media and newswire, argumentative zoning (AZ) is an important task in scientific paper analysis. Traditional methodology to carry on this task relies on feature engineering from different levels.
openaire   +2 more sources