[PDF][PDF] The accuracy comparison among word2vec, glove, and fasttext towards convolution neural network (cnn) text classification

EM Dharma, FL Gaol, H Warnars, B Soewito - J Theor Appl Inf Technol, 2022 - jatit.org
Feature extraction in the field of Text Processing or Natural Language Processing (NLP) has
its own challenges due to the characteristics of unstructured text. Thus, the selection of the …

Sentiment analysis using Word2vec and long short-term memory (LSTM) for Indonesian hotel reviews

PF Muhammad, R Kusumaningrum… - Procedia Computer …, 2021 - Elsevier
Abstract Generally, Online Travel Agent (OTA) has a review element where clients can give
reviews of the facilities they have used. Availability of a huge volume of reviews makes it …

Word2vec convolutional neural networks for classification of news articles and tweets

B Jang, I Kim, JW Kim - PloS one, 2019 - journals.plos.org
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 …

[HTML][HTML] Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

FR Ashik, AIZ Sreezon, MH Rahman, NM Zafri… - Journal of Transport …, 2024 - Elsevier
In this study, we aimed to investigate the influence of the built environment (BE) on
commuter mode choice using machine learning models in a dense megacity context. We …

Identification of fraudulent financial statements using linguistic credibility analysis

SL Humpherys, KC Moffitt, MB Burns, JK Burgoon… - Decision Support …, 2011 - Elsevier
The strategic use of deceptive language in managerial financial fraud is investigated with
linguistic cues extracted from 202 publicly available financial disclosures. Those crafting …

In search of meaning: Lessons, resources and next steps for computational analysis of financial discourse

M El‐Haj, P Rayson, M Walker… - Journal of Business …, 2019 - Wiley Online Library
We critically assess mainstream accounting and finance research applying methods from
computational linguistics (CL) to study financial discourse. We also review common themes …

Iodetector: A generic service for indoor outdoor detection

P Zhou, Y Zheng, Z Li, M Li, G Shen - … of the 10th acm conference on …, 2012 - dl.acm.org
The location and context switching, especially the indoor/outdoor switching, provides
essential and primitive information for upper layer mobile applications. In this paper, we …

Recognizing arabic handwritten characters using deep learning and genetic algorithms

HM Balaha, HA Ali, EK Youssef, AE Elsayed… - Multimedia Tools and …, 2021 - Springer
Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …

Artificial Intelligence for Infectious Disease Detection: Prospects and Challenges

MM Siddique, MMB Seraj, MN Adnan… - … , Prevention, and Control …, 2024 - Springer
Abstract The emergence of Artificial Intelligence (AI) as a transformative force in healthcare
has sparked a growing interest in its application to infectious disease detection. The study …

Rapid rumor ramification: Approximating the minimum broadcast time

R Ravi - Proceedings 35th Annual Symposium on Foundations …, 1994 - ieeexplore.ieee.org
Given an undirected graph representing a network of processors, and a source node
containing a message that must be broadcast to all the nodes, find a scheme that …