Results 81 to 90 of about 32,474 (200)

Application Research of BiLSTM in Cross-Site Scripting Detection

Jisuanji kexue yu tansuo, 2020
At present, machine learning methods are used in the most traditional cross-site scripting (XSS) detection technologies, which have some defects, such as bad readability because of maliciously confused code, insufficient feature extraction and low ...
CHENG Qiqin, WAN Liang
doaj   +1 more source

Bidirectional GRU dengan Attention Mechanism pada Analisis Sentimen PLN Mobile

Techno.Com, 2023
PLN Mobile adalah aplikasi ponsel customer self-service yang terintegrasi dengan Aplikasi Pengaduan dan Keluhan Pelanggan (APKT) dan Aplikasi Pelayanan Pelanggan Terpusat (AP2T).
Moh. Ainur Rohman, Suhartono Suhartono, Totok Chamidy   +2 more
doaj   +1 more source

Scoping review on natural language processing applications in counselling and psychotherapy

British Journal of Psychology, EarlyView.
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva, Yan Liu, Edward Shi, Amery Wu   +3 more
wiley   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

Intangible Value Creation Through Teamwork

Financial Management, EarlyView.
ABSTRACT Using a sample of US firms from 1993 to 2023, comprising 38,502 firm‐year observations, we find that collaboration culture positively correlates with intangible value creation. We identify corporate innovation and human capital as the mechanisms via which collaboration correlates with intangible value creation.
Sagarika Mishra, Dinh Hoang Bach Phan, Vuong Thao Tran   +2 more
wiley   +1 more source

Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks

Open Computer Science, 2022
Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks.
Adewumi Tosin, Liwicki Foteini, Liwicki Marcus   +2 more
doaj   +1 more source

AI‐enhanced decision support for fall patients: streamlining inpatient flow in the emergency department

International Transactions in Operational Research, EarlyView.
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai, Usha Ananthakumar, Shruti Sureshan   +2 more
wiley   +1 more source

Word2vec convolutional neural networks for classification of news articles and tweets.

PLoS ONE, 2019
Big web data from sources including online news and Twitter are good resources for investigating deep learning. However, collected news articles and tweets almost certainly contain data unnecessary for learning, and this disturbs accurate learning.
Beakcheol Jang, Inhwan Kim, Jong Wook Kim   +2 more
doaj   +1 more source

An Approximate Model for Event Detection From Twitter Data

IEEE Access, 2020
The abundance and real-time availability of Twitter data have proved beneficial in detecting events in various domains such as emergency situations, crime detection, public health, place recommendations, etc.
Aarzoo Dhiman, Durga Toshniwal
doaj   +1 more source

Word Mover’s Embedding: From Word2Vec to Document Embedding [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
While the celebrated Word2Vec technique yields semantically rich representations for individual words, there has been relatively less success in extending to generate unsupervised sentences or documents embeddings. Recent work has demonstrated that a distance measure between documents called \emph{Word Mover's Distance} (WMD) that aligns semantically ...
Wu, Lingfei, Yen, Ian E. H., Xu, Kun, Xu, Fangli, Balakrishnan, Avinash, Chen, Pin-Yu, Ravikumar, Pradeep, Witbrock, Michael J.   +7 more
openaire   +2 more sources