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Found 9 papers, 7 papers with code
Toward a Knowledge Discovery Framework for Data Science Job Market in the United States
The growth of the data science field requires better tools to understand such a fast-paced growing domain.
Gender Detection on Social Networks using Ensemble Deep Learning
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship.
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
Online propaganda is central to the recruitment strategies of extremist groups and in recent years these efforts have increasingly extended to women.
Text Classification Algorithms: A Survey
In this paper, a brief overview of text classification algorithms is discussed.
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition
This method could provide another way to collect users' activities during an online session given that the session recorder collected the data.
Analysis of Railway Accidents' Narratives Using Deep Learning
These reports contain a variety of fixed field entries including primary cause of the accidents (a coded variable with 389 values) as well as a narrative field which is a short text description of the accident.
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
In this paper, we describe RMDL model and compare the results for image and text classification as well as face recognition.
RMDL: Random Multimodel Deep Learning for Classification
This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.
HDLTex: Hierarchical Deep Learning for Text Classification
This is because along with this growth in the number of documents has come an increase in the number of categories.
Ranked #1 on
Document Classification
on WOS-46985
