A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Nahar, Fatiha Binte Kamrun, Afsana, Umme Halima, Chowdhury, Azizul Muktadir, Hasnaen, Maha, Jahan, Sumaya
Andre forfattere:	Turzo, Esfar E Alam
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Data analytics Machine learning Natural language processing Random forest Suicide Detection of suicide Algorithms Bert Vader Text-preprocessing Depression Artificial neural network Machine learning. Artificial intelligence.
Online adgang:	http://hdl.handle.net/10361/22003

Lignende værker

Predicting suicidal intent from social media text post using machine learning
af: Chowdhury, Md. Mubin Ul Islam, et al.
Udgivet: (2023)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
af: Rafat, Md. Tasbi, et al.
Udgivet: (2023)

Suicide, a study in sociology:
af: Durkheim, Emile, 1858-1917
Udgivet: (1951)

NLP-based AI robot for intelligent interaction
af: Dastagir, Golam, et al.
Udgivet: (2024)

Alumni opportunities using machine learning
af: Siaum, Arshif Sharlimin, et al.
Udgivet: (2019)

Depression, sleeping pattern, and suicidal ideation among medical students in Bangladesh: A cross-sectional pilot study
af: Hasan, M. Tasdik, et al.
Udgivet: (2022)

Machine learning approach for improving decision support in ICU
af: Siddiquee, Mohib Billah, et al.
Udgivet: (2019)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
af: Shakil, Mahmudul Hasan
Udgivet: (2023)

Narcissism and suicide in Shakespeare and his contemporaries
af: Langley, Eric Francis

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)

Predicting climate induced floods using machine learning
af: Saleh, Chowdhury Nafis, et al.
Udgivet: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
af: Alif, Al Amin, et al.
Udgivet: (2019)

Application of machine learning in credit risk assessment: a prelude to smart banking
af: Dhruba, Mir Ishrak Maheer, et al.
Udgivet: (2019)

An integrated approach: fake review detection using convBERT-BiLSTM classification
af: Mahmud, Md. Anas, et al.
Udgivet: (2024)

A machine learning approach to credit default prediction and Individual credit scoring
af: Rahman, Md. Jaber, et al.
Udgivet: (2018)

Shakespeare's suicides : dead bodies that matter /
af: Tronicke, Marlena
Udgivet: (2018)

A hybrid rumor detection model derived from a comparative study of supervised approaches
af: Aothoi, Mehzabin Sadat, et al.
Udgivet: (2023)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

The bell jar /
af: Plath, Sylvia
Udgivet: (2013)

Real time performance analysis on DDoS attack detection using machine learning
af: Suvra, Debashis Kar, et al.
Udgivet: (2021)

Detecting sarcasm in Bengali comments using NLP
af: Chowdhury, Md. Jamiur Rahman
Udgivet: (2024)

The girl /
af: Faleiro, Sonia
Udgivet: (2006)

The tender land : a family love story /
af: Finneran, Kathleen
Udgivet: (2000)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
af: Fahim, Kaji Mehedi Hasan, et al.
Udgivet: (2024)

Sentiment analysis in Bengali Text using NLP
af: Sarkar, Ankon, et al.
Udgivet: (2023)

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)

A machine learning approach to detect depression and anxiety using supervised learning
af: Ullas, Md Tahmidur Rahman, et al.
Udgivet: (2019)

Bank loan prediction using machine learning
af: Mahottam, Parthosarothi, et al.
Udgivet: (2023)

Implementation of diffusion model in realistic face generation
af: Rahman, Abidur, et al.
Udgivet: (2024)

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)

Investigation assistant with suspect anticipating intelligence
af: Abdullah, Saqueeb, et al.
Udgivet: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
af: Tithi, Sushmita Roy, et al.
Udgivet: (2019)

Smart companion agent for mental well-being through Deep Learning and NLP
af: Khan, Rafiur, et al.
Udgivet: (2021)

Research on the latest trends in Bangla named entity recognition
af: Farhan, Niloy, et al.
Udgivet: (2023)

Comparison of machine learning techniques to predict cardiovascular disease
af: Jaber, Mir Mohammad, et al.
Udgivet: (2019)

Yoga posture recognition using the deep learning process
af: Islam, Abidul, et al.
Udgivet: (2023)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
af: Al Taawab, Abdullah, et al.
Udgivet: (2022)

Rumor detection in Bangla using machine learning & deep learning
af: Ahmed, Md Istiaq, et al.
Udgivet: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
af: Ferdous, Md.Rubaiat, et al.
Udgivet: (2024)

Detecting propagandistic poster title: a machine learning approach
af: Mahmood, Riaz, et al.
Udgivet: (2024)