A transformer based approach to detect the sentiment of drivers in ride sharing platforms

A transformer based approach to detect the sentiment of drivers in ride sharing platforms

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

Chi tiết về thư mục
Tác giả chính:	Chakraborty, Sovon
Tác giả khác:	Sadeque, Farig Yousuf
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2024
Những chủ đề:	Machine learning XAI NLP Sentiment analysis Ride-sharing Sentiment analysis > Data processing. Natural language processing (Computer science).
Truy cập trực tuyến:	http://hdl.handle.net/10361/24037

Những quyển sách tương tự

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

Women’s perceptions towards ride-sharing services: The case of Dhaka city
Bằng: Nowshin, Nahela
Được phát hành: (2021)

Market acceptance of electronic car in ride sharing industry of Bangladesh
Bằng: Ferdous, Afrin
Được phát hành: (2019)

Sentiment analysis on mobile operators’ customer review
Bằng: Hossain, Mohammed Mohibul, et al.
Được phát hành: (2020)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
Bằng: Islam, Shadman, et al.
Được phát hành: (2020)

Microblog sentiment analysis for rating TV shows
Bằng: Abdullah, Ashik
Được phát hành: (2017)

Human sentiment analysis using natural language processing
Bằng: Shamya, Md. Shamiul Haque Khan, et al.
Được phát hành: (2024)

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

Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
Bằng: Mollah, Md Lokman Hossain
Được phát hành: (2021)

Sentiment analysis for Bengali newspaper headlines
Bằng: Hossain, Mohammad Samman, et al.
Được phát hành: (2017)

Pathao ride share making Dhaka City people’s life easier
Bằng: Rahman, Bantee
Được phát hành: (2022)

Analyzing users’ sentiment towards video games based on reviews from microblog
Bằng: Roy, Abhijeet, et al.
Được phát hành: (2018)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
Bằng: Kafi, Abdullahil, et al.
Được phát hành: (2018)

An effective machine learning approach for sentiment analysis of restaurant reviews
Bằng: Karim, Rabita
Được phát hành: (2018)

The Current state of ride-sharing apps in Bangladesh: are they successful in achieving customer satisfaction?
Bằng: Al Muhit, Abdullah
Được phát hành: (2024)

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

Optimizing restaurant recommendations through sentiment analysis
Bằng: Juha, Tasnia, et al.
Được phát hành: (2024)

Amazon product reviews sentiment analysis using supervised learning algorithms
Bằng: Hawladar, Mohibullah, et al.
Được phát hành: (2021)

Conversational AI for companionship
Bằng: Khan, Zakaria, et al.
Được phát hành: (2022)

Product rating generation based on public opinion using sentiment analysis
Bằng: Rabbi, Reshan Ahmed, et al.
Được phát hành: (2018)

The use of digital application based platform for transport service by Pathao Limited.
Bằng: Siddique, Abu Bakar
Được phát hành: (2020)

A framework for sentiment analysis: a data-driven approach
Bằng: Islam, Md. Jahedul, et al.
Được phát hành: (2021)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
Bằng: Hossain, Md. Ishan Arefin, et al.
Được phát hành: (2018)

Sentiment classification on Bengali food and restaurant reviews
Bằng: Hossain, Abid, et al.
Được phát hành: (2024)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Bằng: Shourin, Bushra, et al.
Được phát hành: (2018)

Share market forecasting with LSTM neural network and sentimental trend prediction
Bằng: Rony, Ismail Hossain, et al.
Được phát hành: (2020)

Sentiment analysis in Bengali Text using NLP
Bằng: Sarkar, Ankon, et al.
Được phát hành: (2023)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
Bằng: Rabbi, Md. Nafis
Được phát hành: (2024)

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

Performing sentiment analysis in Bangla microblog posts
Bằng: Chowdhury, Shaika, et al.
Được phát hành: (2017)

Sentimental analysis on political speeches
Bằng: Atiq, Asif, et al.
Được phát hành: (2022)

Aspect-based sentiment analysis using SemEval and Amazon datasets
Bằng: Hasib, Tamanna, et al.
Được phát hành: (2018)

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

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
Bằng: Deb, Priom, et al.
Được phát hành: (2024)

Predicting stock market movement using sentiment analysis of twitter feed
Bằng: Chakraborty, Pranjal, et al.
Được phát hành: (2017)

A machine learning approach to predict movie box-office success
Bằng: Quader, Nahid, et al.
Được phát hành: (2018)

An advanced hospital rating system using machine learning and natural language processing
Bằng: Tamjid, Ali Asgar, et al.
Được phát hành: (2023)

Detecting sarcasm in Bengali comments using NLP
Bằng: Chowdhury, Md. Jamiur Rahman
Được phát hành: (2024)

Social media sentiment study on COVID-19 outbreak
Bằng: Karmaker, Anik, et al.
Được phát hành: (2021)

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