Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers

Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers

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

Bibliografski detalji
Glavni autori:	Orchi, Irin Hoque, Prarthona, Sabrina Tajrin, Tabassum, Nafisa, Hossain, Jaeemul, Ishti, Iftekhar Alam
Daljnji autori:	Sadeq, Farig Yousuf
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	Sentimental analysis Psychological support Cancer patient SBERT RNN GRU LSTM Few shots Emotional valence Machine learning Natural language processing (Computer science) Artificial intelligence
Online pristup:	http://hdl.handle.net/10361/22043

Similar Items

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

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

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
od: Alam, Salman, i dr.
Izdano: (2023)

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

Stock Market Price movement prediction using RNN and Point-weight Sentiment
od: Uddin, S. M. Rageeb Noor, i dr.
Izdano: (2022)

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

Analyzing area-wise air pollution level using machine learning for a better future
od: Sihan, Sk. Atik Tajwar, i dr.
Izdano: (2021)

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

Malicious data classification in packet data network through hybrid meta deep learning
od: Tapu, Sakib Uddin, i dr.
Izdano: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
od: Nirjhor, S M Mahsanul Islam, i dr.
Izdano: (2019)

Optimizing restaurant recommendations through sentiment analysis
od: Juha, Tasnia, i dr.
Izdano: (2024)

RED-LSTM: Real time emotion detection using LSTM
od: Labiba, Mansura Rahman, i dr.
Izdano: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
od: Morshed, Atique, i dr.
Izdano: (2021)

Predicting suicidal intent from social media text post using machine learning
od: Chowdhury, Md. Mubin Ul Islam, i dr.
Izdano: (2023)

Lowest White Boy
od: Bottoms

Text classification with an efficient preprocessing technique for cross-language and multilingual data
od: Khan, Towhid, i dr.
Izdano: (2023)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
od: Ghose, Swattic, i dr.
Izdano: (2023)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
od: Dewanjee, Tanmoy, i dr.
Izdano: (2021)

Voice impersonation detection using LSTM based RNN and explainable AI
od: Barua, Kawshik, i dr.
Izdano: (2022)

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

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
od: Rahman, Shaomi, i dr.
Izdano: (2018)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
od: Zaman, Md. Sayeed Ibne, i dr.
Izdano: (2022)

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

Children as Caregivers
od: Hunleth

Microblog sentiment analysis for rating TV shows
od: Abdullah, Ashik
Izdano: (2017)

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
od: Khan, Afsana, i dr.
Izdano: (2022)

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

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
od: Shruti, Abanti Chakraborty
Izdano: (2024)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
od: Islam, Shadman, i dr.
Izdano: (2020)

Sentiment analysis on mobile operators’ customer review
od: Hossain, Mohammed Mohibul, i dr.
Izdano: (2020)

Diagnosing Folklore
od: Blank

Diagnosing Madness
od: Berkenkotter

Bangla optical character recognition from printed text using Tesseract Engine
od: Faruque, MD Yamin, i dr.
Izdano: (2021)

Caregiving Across the Lifespan
Izdano: (2013)

Automated image caption generator in Bangla using multimodal learning
od: Rodoshi, Mashiat Hasin, i dr.
Izdano: (2023)

Demand forecasting on supply chain using ML and NN
od: Hridi, Naoshin Anzum, i dr.
Izdano: (2023)

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

Analyzing users’ sentiment towards video games based on reviews from microblog
od: Roy, Abhijeet, i dr.
Izdano: (2018)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
od: Chakraborty, Dhruba, i dr.
Izdano: (2022)

Short term load forecasting based on Internet of Things (IoT)
od: Uz Zaman, Mahdi, i dr.
Izdano: (2018)