Sentiment classification on Bengali food and restaurant reviews

Sentiment classification on Bengali food and restaurant reviews

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

Bibliografiske detaljer
Main Authors:	Hossain, Abid, Sajin, Tanjim Hussain, Bhuiyan, Md Hasibuzzaman, Khan, Farhan Akbor, Anka, Sankalpa
Andre forfattere:	Alam, Md Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Sentiment analysis Natural language processing RoBERTa BERT CNN Deep learning Neural networks (Computer science) Natural language processing (Computer science)
Online adgang:	http://hdl.handle.net/10361/22836

Lignende værker

Quality assessment of extracted information from newspaper comment sections using natural language processing
af: Deb, Arnob, et al.
Udgivet: (2024)

References validation in scholarly articles using RoBERTa
af: Nasib, Abdullah Umar
Udgivet: (2023)

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

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

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

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

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

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

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

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
af: Anan, Ramisa, et al.
Udgivet: (2023)

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

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

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

Research on the latest trends in Bangla named entity recognition
af: Farhan, Niloy, et al.
Udgivet: (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
af: Shruti, Abanti Chakraborty
Udgivet: (2024)

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

A study on the efficacy of natural language generation techniques for similar writing personalities
af: Anwar, Ahmed, et al.
Udgivet: (2024)

Towards devising an efficient VQA in the Bengali Language
af: Islam, S M Shahriar, et al.
Udgivet: (2022)

BWN- A software platform for developing Bengali wordnet
af: Khan, Mumit, et al.
Udgivet: (2010)

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

Social media sentiment study on COVID-19 outbreak
af: Karmaker, Anik, et al.
Udgivet: (2021)

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

Microblog sentiment analysis for rating TV shows
af: Abdullah, Ashik
Udgivet: (2017)

Automatic subtitle generation for Bengali multimedia using deep learning
af: Rhythm, Ehsanur Rahman, et al.
Udgivet: (2024)

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

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

Bang-lish sentiment classification using deep learning
af: Saleheen, Abrar, 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)

Market demand analysis using NLP in Bangla language
af: Hossain, Md Sabbir, et al.
Udgivet: (2022)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
af: Jahan, Rufyda
Udgivet: (2019)

Computational analysis and detection of Bengali communal violent speech
af: Khondoker, Abdullah, et al.
Udgivet: (2024)

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

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

Automated essay scoring for Bangla
af: Mahjabin, Rubayet, et al.
Udgivet: (2024)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
af: Islam, Shadman, et al.
Udgivet: (2020)

Sign language detection and conversion to readable Bengali words using BdSL
af: Dhrubo, Tahsinul Haque, et al.
Udgivet: (2024)

Feature unification for morphological parsing in Bangla
af: Dasgupta, Sajib, et al.
Udgivet: (2010)

Natural language processing for online applications : text retrieval, extraction, and categorization /
af: Jackson, Peter, 1948-
Udgivet: (2002)

TikNep: content analysis of Nepali TikTok users using natural language processing
af: Dhakal, Aakar, et al.
Udgivet: (2024)

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