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.

Библиографические подробности
Главные авторы:	Hossain, Abid, Sajin, Tanjim Hussain, Bhuiyan, Md Hasibuzzaman, Khan, Farhan Akbor, Anka, Sankalpa
Другие авторы:	Alam, Md Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Sentiment analysis Natural language processing RoBERTa BERT CNN Deep learning Neural networks (Computer science) Natural language processing (Computer science)
Online-ссылка:	http://hdl.handle.net/10361/22836

Схожие документы

Quality assessment of extracted information from newspaper comment sections using natural language processing
по: Deb, Arnob, и др.
Опубликовано: (2024)

References validation in scholarly articles using RoBERTa
по: Nasib, Abdullah Umar
Опубликовано: (2023)

Optimizing restaurant recommendations through sentiment analysis
по: Juha, Tasnia, и др.
Опубликовано: (2024)

Sentiment analysis in Bengali Text using NLP
по: Sarkar, Ankon, и др.
Опубликовано: (2023)

Social media trend analysis to predict the success of products using deep learning technique
по: Khan, Farden Ehsan, и др.
Опубликовано: (2023)

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

An integrated approach: fake review detection using convBERT-BiLSTM classification
по: Mahmud, Md. Anas, и др.
Опубликовано: (2024)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
по: Symum, Md Abdullah Al, и др.
Опубликовано: (2023)

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

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
по: Anan, Ramisa, и др.
Опубликовано: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
по: Rahman, Shaomi, и др.
Опубликовано: (2018)

Human sentiment analysis using natural language processing
по: Shamya, Md. Shamiul Haque Khan, и др.
Опубликовано: (2024)

Sentiment analysis for Bengali newspaper headlines
по: Hossain, Mohammad Samman, и др.
Опубликовано: (2017)

Research on the latest trends in Bangla named entity recognition
по: Farhan, Niloy, и др.
Опубликовано: (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
по: Shruti, Abanti Chakraborty
Опубликовано: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
по: Deb, Priom, и др.
Опубликовано: (2024)

A study on the efficacy of natural language generation techniques for similar writing personalities
по: Anwar, Ahmed, и др.
Опубликовано: (2024)

Towards devising an efficient VQA in the Bengali Language
по: Islam, S M Shahriar, и др.
Опубликовано: (2022)

BWN- A software platform for developing Bengali wordnet
по: Khan, Mumit, и др.
Опубликовано: (2010)

Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
по: Rodela, Raisa Rahman, и др.
Опубликовано: (2024)

Social media sentiment study on COVID-19 outbreak
по: Karmaker, Anik, и др.
Опубликовано: (2021)

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

Microblog sentiment analysis for rating TV shows
по: Abdullah, Ashik
Опубликовано: (2017)

Automatic subtitle generation for Bengali multimedia using deep learning
по: Rhythm, Ehsanur Rahman, и др.
Опубликовано: (2024)

Sentiment analysis on mobile operators’ customer review
по: Hossain, Mohammed Mohibul, и др.
Опубликовано: (2020)

Text classification with an efficient preprocessing technique for cross-language and multilingual data
по: Khan, Towhid, и др.
Опубликовано: (2023)

Bang-lish sentiment classification using deep learning
по: Saleheen, Abrar, и др.
Опубликовано: (2023)

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
по: Nahar, Fatiha Binte Kamrun, и др.
Опубликовано: (2023)

Market demand analysis using NLP in Bangla language
по: Hossain, Md Sabbir, и др.
Опубликовано: (2022)

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

Computational analysis and detection of Bengali communal violent speech
по: Khondoker, Abdullah, и др.
Опубликовано: (2024)

Recognizing sentimental emotions in text by using Machine Learning
по: Bushra, Tabassum Khan, и др.
Опубликовано: (2023)

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

Automated essay scoring for Bangla
по: Mahjabin, Rubayet, и др.
Опубликовано: (2024)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
по: Islam, Shadman, и др.
Опубликовано: (2020)

Sign language detection and conversion to readable Bengali words using BdSL
по: Dhrubo, Tahsinul Haque, и др.
Опубликовано: (2024)

Feature unification for morphological parsing in Bangla
по: Dasgupta, Sajib, и др.
Опубликовано: (2010)

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

TikNep: content analysis of Nepali TikTok users using natural language processing
по: Dhakal, Aakar, и др.
Опубликовано: (2024)

Analyzing users’ sentiment towards video games based on reviews from microblog
по: Roy, Abhijeet, и др.
Опубликовано: (2018)