An advanced hospital rating system using machine learning and natural language processing

An advanced hospital rating system using machine learning and natural language processing

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

Xehetasun bibliografikoak
Egile Nagusiak:	Tamjid, Ali Asgar, Galpo, Gaurab Paul, Urmi, Khadija Begum, Chitto, Fatema Sadeque, Annafi, Sadia
Beste egile batzuk:	Chakraborty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Hospital review Multiclass dataset Web scrapping Sentiment analysis NLP Deep learning SVM Logistic regression Random forest Decision tree BERT CNN Hospital ranking Sentiment prediction Web application Cognitive learning theory Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/21912

Antzeko izenburuak

Amazon product reviews sentiment analysis using supervised learning algorithms
nork: Hawladar, Mohibullah, et al.
Argitaratua: (2021)

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

Sentiment analysis for Bengali newspaper headlines
nork: Hossain, Mohammad Samman, et al.
Argitaratua: (2017)

Predicting stock market movement using sentiment analysis of twitter feed
nork: Chakraborty, Pranjal, et al.
Argitaratua: (2017)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
nork: Chakraborty, Sovon
Argitaratua: (2024)

A machine learning approach to predict movie box-office success
nork: Quader, Nahid, et al.
Argitaratua: (2018)

Conversational AI for companionship
nork: Khan, Zakaria, et al.
Argitaratua: (2022)

Automated model to rank candidates for a job position based on data extracted from LinkedIn profiles
nork: Nadia, Mouri Hoque
Argitaratua: (2024)

Social media trend analysis to predict the success of products using deep learning technique
nork: Khan, Farden Ehsan, et al.
Argitaratua: (2023)

Sentiment analysis on Bangladesh airlines review data using machine learning
nork: Hasib, Khan Md.
Argitaratua: (2022)

A counseling system to predict the study path for freshmen
nork: Usha, Rowshni Tasneem, et al.
Argitaratua: (2019)

Sentiment analysis on mobile operators’ customer review
nork: Hossain, Mohammed Mohibul, et al.
Argitaratua: (2020)

An effective machine learning approach for sentiment analysis of restaurant reviews
nork: Karim, Rabita
Argitaratua: (2018)

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

Analyzing users’ sentiment towards video games based on reviews from microblog
nork: Roy, Abhijeet, et al.
Argitaratua: (2018)

Optimizing restaurant recommendations through sentiment analysis
nork: Juha, Tasnia, et al.
Argitaratua: (2024)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
nork: Uddin, S. M. Rageeb Noor, et al.
Argitaratua: (2022)

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

Feature based mobile phone rating using sentiment analysis and machine learning approaches
nork: Kafi, Abdullahil, et al.
Argitaratua: (2018)

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

Finding suitable locations for live campaigns using different machine learning techniques
nork: Qudar, Mohiuddin Md. Abdul, et al.
Argitaratua: (2018)

Analysis on the effects of wallstreetbets on the stock market
nork: Hossain, Abir, et al.
Argitaratua: (2022)

Automation requirements engineering using machine learning
nork: Abid, Md.Mehedy Hasan, et al.
Argitaratua: (2022)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
nork: Ghose, Swattic, et al.
Argitaratua: (2023)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
nork: Hossain, Md. Ishan Arefin, et al.
Argitaratua: (2018)

Text classification with an efficient preprocessing technique for cross-language and multilingual data
nork: Khan, Towhid, et al.
Argitaratua: (2023)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
nork: Maliha, Miftahul Zannat, et al.
Argitaratua: (2023)

A framework for sentiment analysis: a data-driven approach
nork: Islam, Md. Jahedul, et al.
Argitaratua: (2021)

Sentiment classification on Bengali food and restaurant reviews
nork: Hossain, Abid, et al.
Argitaratua: (2024)

A deep learning approach to integrate human-level understanding in a Chatbot
nork: Al Mamun, Amirul Islam, et al.
Argitaratua: (2021)

Aspect-based sentiment analysis using SemEval and Amazon datasets
nork: Hasib, Tamanna, et al.
Argitaratua: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
nork: Alhossen, Md., et al.
Argitaratua: (2021)

Bang-lish sentiment classification using deep learning
nork: Saleheen, Abrar, et al.
Argitaratua: (2023)

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

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

Predicting stock market trend from twitter feed and building a framework for Bangladesh
nork: Karim, Shabab, et al.
Argitaratua: (2018)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
Argitaratua: (2019)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
nork: Rahman, Shaomi, et al.
Argitaratua: (2018)

Prediction of bipolar disorder from mental episodes using machine learning approach
nork: Tasmeem, Sumaiya, et al.
Argitaratua: (2023)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
nork: Symum, Md Abdullah Al, et al.
Argitaratua: (2023)