Predicting suicidal intent from social media text post using machine learning

Predicting suicidal intent from social media text post using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Chowdhury, Md. Mubin Ul Islam, Hasan, Mehadi, Nayem, A.K.M Muhibullah, Meem, Humaira Tasnim
Andre forfattere:	Arif, Hossain
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Suicidal Ideation Machine Learning Deep Learning Neural Network Social media Functional Word Embedding Dense and GRU Bert Bi-directional LSTM. Suicide > Prevention.
Online adgang:	http://hdl.handle.net/10361/17923

Lignende værker

Multimodal fake news detection using text and image
af: Biswas, Trisha, et al.
Udgivet: (2024)

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

Hybrid recommendation system of intelligent captioning using deep learning networks
af: Wasi, Ahamed Al, et al.
Udgivet: (2024)

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

Novel approach to detect hate speech and profanity on online platforms
af: Pritha, Barha Meherun, et al.
Udgivet: (2022)

Recognizing sentimental emotions in text by using Machine Learning
af: Bushra, Tabassum Khan, et al.
Udgivet: (2023)

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
af: Nahar, Fatiha Binte Kamrun, et al.
Udgivet: (2023)

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

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

Cyberbullying Detection using Machine Learning from Social Media comments in Bangla Language
af: Tuhin, Saikat Halder, et al.
Udgivet: (2023)

Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
af: Rodela, Raisa Rahman, et al.
Udgivet: (2024)

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

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

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
af: Fiha, Yeamin Jahan, et al.
Udgivet: (2022)

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Taste of cherry Ta�m e guilass /
Udgivet: (1999)

War and suicide: a comparative analysis of Yukio Mishima and Ernest Hemingway in the context of existentialism and Emile Durkheim’s Study of Suicide
af: Chowdhury, Sarah Nazia
Udgivet: (2024)

Sentiment analysis using Natural Language Processing (NLP) & deep learning
af: Islam, Kazi Minhazul, et al.
Udgivet: (2022)

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

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
af: Nahar, Jannatun, et al.
Udgivet: (2022)

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

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

Therapeutic and adverse effects of SSRIs
af: Rahman, Imtiazur
Udgivet: (2018)

Analysis of financial data on the time series using data from the stock market
af: Shachcha, Ifad Bhuiyan, et al.
Udgivet: (2022)

Human sentiment analysis using natural language processing
af: Shamya, Md. Shamiul Haque Khan, et al.
Udgivet: (2024)

Bangla hate speech detection on social media using attention-based recurrent neural network
af: Das, Amit Kumar, et al.
Udgivet: (2022)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
af: Mouli, Nazifa, et al.
Udgivet: (2023)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
af: Srabon, Abir Alam, et al.
Udgivet: (2023)

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

Scent of a woman
Udgivet: (1993)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
af: Barua, Debalina
Udgivet: (2023)

Virtual teaching assistant for undergraduate students using natural language processing & deep learning
af: Sakib, Sadman Jashim, et al.
Udgivet: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
af: Kibria, Maharab, et al.
Udgivet: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
af: Arafat, Sheikh Mohammad, et al.
Udgivet: (2021)

Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
af: Orchi, Irin Hoque, et al.
Udgivet: (2023)

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)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
af: Nazmee, Namirah, et al.
Udgivet: (2024)

Learning a deep neural network for predicting phishing website
af: Das, Robat, et al.
Udgivet: (2019)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
af: Khan, Ibrahim
Udgivet: (2023)

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