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.

Xehetasun bibliografikoak
Egile Nagusiak:	Sarkar, Ankon, Sourav, Aishwarja Paul, Ahmed, Rezvi
Beste egile batzuk:	Shakil, Mr. Arif
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/19148

Antzeko izenburuak

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

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

An integrated approach: fake review detection using convBERT-BiLSTM classification
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Optimizing restaurant recommendations through sentiment analysis
nork: Juha, Tasnia, et al.
Argitaratua: (2024)

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

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

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

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

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

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
nork: Symum, Md Abdullah Al, et al.
Argitaratua: (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
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Sentiment analysis using Natural Language Processing (NLP) & deep learning
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Argitaratua: (2022)

Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
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Multimodal fake news detection using text and image
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Argitaratua: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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