[PDF][PDF] Twitter Arabic Sentiment Analysis to Detect Depression Using Machine Learning.

DA Musleh, TA Alkhales, RA Almakki… - … , Materials & Continua, 2022 - academia.edu
Depression has been a major global concern for a long time, with the disease affecting
aspects of many people's daily lives, such as their moods, eating habits, and social …

[PDF][PDF] Feature based depression detection from twitter data using machine learning techniques

P Kumar, P Samanta, S Dutta, M Chatterjee… - Journal of Scientific …, 2022 - academia.edu
The statistics presented by the World Health Organization attribute depression to be a
primary cause of concern globally, leading to suicide in the majority of the cases if left …

Detecting Arabic depressed users from Twitter data

S Almouzini, A Alageel - Procedia Computer Science, 2019 - Elsevier
Depression is one of the most common health issues impacting the world. People with
severe depression symptoms are affected in their work, home, and social lives. Early …

[PDF][PDF] Sentiment analysis of twitter data for saudi universities

M Alruily, OR Shahin - … Journal of Machine Learning and Computing, 2020 - academia.edu
With the tremendous increase in web technologies, many people are conveying and
expressing their feelings through social media. These data collections, called big data, can …

Sentiment analysis and topic modeling on arabic twitter data during Covid-19 pandemic

N Habbat, H Anoun, L Hassouni - Indonesian Journal of …, 2022 - ojs.literacyinstitute.org
Abstract Twitter Sentiment Analysis is the task of detecting opinions and sentiments in tweets
using different algorithms. In our research work, we conducted a study to analyze and …

[PDF][PDF] Sentiment analysis using logistic regression

G Aliman, TFS Nivera, JCA Olazo… - Journal of …, 2022 - dlsu.edu.ph
This paper proposed a study that will assess different machine learning techniques in
classifying tweets. There are four machine learning techniques that will be subjected to …

[PDF][PDF] Machine learning for depression diagnosis using twitter data

K Shrestha - International Journal of Computer Engineering in …, 2018 - academia.edu
Revised: 07/February/2017, Accepted: 14/February/2017, Published: 06/March/2017
Abstract:-World Health Organisation reports that Depression is the most prevalent mental …

[PDF][PDF] Comparison of accuracy between convolutional neural networks and Naïve Bayes Classifiers in sentiment analysis on Twitter

POA Sunarya, R Refianti, AB Mutiara… - International Journal of …, 2019 - academia.edu
The needs and demands of the community for the ease of accessing information encourage
the increasing use of social media tools such as Twitter to share, deliver and search for …

[PDF][PDF] Twitter sentiment analysis using different machine learning and feature extraction techniques

MW Habib, ZN Sultani - Al-Nahrain Journal of Science, 2021 - iasj.net
Twitter is considered a significant source of exchanging information and opinion in today's
business. Analysis of this data is critical and complex due to the size of the dataset …

[PDF][PDF] Investigation of different machine learning algorithms to determine human sentiment using Twitter data

IA Golam Mostafa, MS Junayed - International Journal of Information …, 2021 - academia.edu
In recent years, with the advancement of the internet, social media is a promising platform to
explore what going on around the world, sharing opinions and personal development. Now …