Comparison of LSTM, SVM, and naive bayes for classifying sexual harassment tweets
Twitter is now a very open and extensive social media; anyone can freely express their
opinion on any topic on social media. The content or discussion on Twitter is also quite …
opinion on any topic on social media. The content or discussion on Twitter is also quite …
[PDF][PDF] A Comparative Analysis of Classification Algorithms for Cyberbullying Crime Detection: An Experimental Study of Twitter Social Media in Indonesia
Purpose: This research aims to identify content that contains cyberbullying on Twitter. We
also conducted a comparative study of several classification algorithms, namely NB, DT, LR …
also conducted a comparative study of several classification algorithms, namely NB, DT, LR …
Prediction of Hospital Intesive Patients Using Neural Network Algorithm
R Rosita, DAA Pertiwi… - Journal of Soft Computing …, 2022 - shmpublisher.com
This study aims to predict whether the patient deserves to be inpatient or outpatient by
comparing several machine learning techniques, namely, logistic regression, decision tree …
comparing several machine learning techniques, namely, logistic regression, decision tree …
[PDF][PDF] An improved light gradient boosting machine algorithm based on swarm algorithms for predicting loan default of peer-to-peer lending
Internet finance and big data technology are booming in the world. The launch of peer to
peer (P2P) lending platforms is a sign and a great opportunity for entrepreneurs to easily …
peer (P2P) lending platforms is a sign and a great opportunity for entrepreneurs to easily …
Implementation Data Mining with Naive Bayes Classifier Method and Laplace Smoothing to Predict Students Learning Results
D Pradana, E Sugiharti - Recursive Journal of Informatics, 2023 - journal.unnes.ac.id
The application of information technology in the field of education produces big data. It
retains information that can be treated as useful. Having data mining, can be used to model …
retains information that can be treated as useful. Having data mining, can be used to model …
Comparative Analysis of Image Processing Methods using GLCM and LBP Feature Extraction for Lung Cancer Detection
KC Ahnaf, ES Wahvuni - 2023 6th International Seminar on …, 2023 - ieeexplore.ieee.org
This research was conducted to compare image processing accuracy in detecting lung
cancer using two feature extraction methods: grey-level co-occurrence matrix feature …
cancer using two feature extraction methods: grey-level co-occurrence matrix feature …
[PDF][PDF] Detecting Postpartum Depression Stages in New Mothers: A Comparative Study of Novel LSTM-CNN vs. Random Forest
P Srivatsav, S Nanthini - SPAST Reports, 2024 - spast.org
Detecting Postpartum Depression Stages in New Mothers: A Comparative Study of Novel
LSTM-CNN vs. Random Forest Page 1 Detecting Postpartum Depression Stages in New …
LSTM-CNN vs. Random Forest Page 1 Detecting Postpartum Depression Stages in New …