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.

Bibliografske podrobnosti
Main Authors:	Chowdhury, Md. Mubin Ul Islam, Hasan, Mehadi, Nayem, A.K.M Muhibullah, Meem, Humaira Tasnim
Drugi avtorji:	Arif, Hossain
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2023
Teme:	Suicidal Ideation Machine Learning Deep Learning Neural Network Social media Functional Word Embedding Dense and GRU Bert Bi-directional LSTM. Suicide > Prevention.
Online dostop:	http://hdl.handle.net/10361/17923

Podobne knjige/članki

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

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

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

Suicide, a study in sociology:
od: Durkheim, Emile, 1858-1917
Izdano: (1951)

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

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

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

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

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

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

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

The tender land : a family love story /
od: Finneran, Kathleen
Izdano: (2000)

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

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

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

Taste of cherry Ta�m e guilass /
Izdano: (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
od: Chowdhury, Sarah Nazia
Izdano: (2024)

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

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

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

The bell jar /
od: Plath, Sylvia
Izdano: (2013)

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

Therapeutic and adverse effects of SSRIs
od: Rahman, Imtiazur
Izdano: (2018)

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

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

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

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

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

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

Scent of a woman
Izdano: (1993)

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

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

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

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

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

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

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

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

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

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