Sentiment analysis in Bengali Text using NLP

Sentiment analysis in Bengali Text using NLP

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

Bibliografiske detaljer
Main Authors:	Sarkar, Ankon, Sourav, Aishwarja Paul, Ahmed, Rezvi
Andre forfattere:	Shakil, Mr. Arif
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science)
Online adgang:	http://hdl.handle.net/10361/19148

Lignende værker

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

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

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

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
af: Fahim, Kaji Mehedi Hasan, et al.
Udgivet: (2024)

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

Smart companion agent for mental well-being through Deep Learning and NLP
af: Khan, Rafiur, et al.
Udgivet: (2021)

Identifying hate speech of Bangla language text using natural language processing
af: Rahman, Mushfiqur, et al.
Udgivet: (2024)

Human sentiment analysis using natural language processing
af: Shamya, Md. Shamiul Haque Khan, 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)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
af: Symum, Md Abdullah Al, 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 using Natural Language Processing (NLP) & deep learning
af: Islam, Kazi Minhazul, et al.
Udgivet: (2022)

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

Multimodal fake news detection using text and image
af: Biswas, Trisha, et al.
Udgivet: (2024)

Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
af: Haque, Farah Binta, et al.
Udgivet: (2024)

Automated image caption generator in Bangla using multimodal learning
af: Rodoshi, Mashiat Hasin, et al.
Udgivet: (2023)

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

Hybrid recommendation system of intelligent captioning using deep learning networks
af: Wasi, Ahamed Al, et al.
Udgivet: (2024)

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

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
af: Islam, Md. Nazmul, et al.
Udgivet: (2024)

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

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

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

NLP-based AI robot for intelligent interaction
af: Dastagir, Golam, et al.
Udgivet: (2024)

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)

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

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

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

Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
af: Joaa, A.F.M. Mohimenul
Udgivet: (2024)

Predicting suicidal intent from social media text post using machine learning
af: Chowdhury, Md. Mubin Ul Islam, et al.
Udgivet: (2023)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
af: Sarker, Md Wafi, et al.
Udgivet: (2023)

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)

Research on the latest trends in Bangla named entity recognition
af: Farhan, Niloy, et al.
Udgivet: (2023)

Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /
af: Patel, Sunil
Udgivet: (2021)

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

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

Deep convolutional GAN-based data augmentation for medical image classification
af: Datta, Joy, et al.
Udgivet: (2022)

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