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.

Dettagli Bibliografici
Autori principali:	Hossain, Abid, Sajin, Tanjim Hussain, Bhuiyan, Md Hasibuzzaman, Khan, Farhan Akbor, Anka, Sankalpa
Altri autori:	Alam, Md Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Sentiment analysis Natural language processing RoBERTa BERT CNN Deep learning Neural networks (Computer science) Natural language processing (Computer science)
Accesso online:	http://hdl.handle.net/10361/22836

Documenti analoghi

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

References validation in scholarly articles using RoBERTa
di: Nasib, Abdullah Umar
Pubblicazione: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Microblog sentiment analysis for rating TV shows
di: Abdullah, Ashik
Pubblicazione: (2017)

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

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

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

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

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
di: Nahar, Fatiha Binte Kamrun, et al.
Pubblicazione: (2023)

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

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

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

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

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

Automated essay scoring for Bangla
di: Mahjabin, Rubayet, et al.
Pubblicazione: (2024)

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

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

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

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

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

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