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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Hossain, Abid, Sajin, Tanjim Hussain, Bhuiyan, Md Hasibuzzaman, Khan, Farhan Akbor, Anka, Sankalpa
مؤلفون آخرون:	Alam, Md Golam Rabiul
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Sentiment analysis Natural language processing RoBERTa BERT CNN Deep learning Neural networks (Computer science) Natural language processing (Computer science)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/22836

مواد مشابهة

Quality assessment of extracted information from newspaper comment sections using natural language processing
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Social media trend analysis to predict the success of products using deep learning technique
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Detecting sarcasm in Bengali comments using NLP
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An integrated approach: fake review detection using convBERT-BiLSTM classification
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Sentimental analysis of customer product Reviews to understand customer needs using machine learning
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A transformer based approach to detect the sentiment of drivers in ride sharing platforms
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Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
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منشور في: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
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منشور في: (2018)

Human sentiment analysis using natural language processing
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Sentiment analysis for Bengali newspaper headlines
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Research on the latest trends in Bangla named entity recognition
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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 of customer reviews on food ordering portals of Bangladesh using natural language processing
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A study on the efficacy of natural language generation techniques for similar writing personalities
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Towards devising an efficient VQA in the Bengali Language
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BWN- A software platform for developing Bengali wordnet
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Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
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Social media sentiment study on COVID-19 outbreak
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An effective machine learning approach for sentiment analysis of restaurant reviews
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Microblog sentiment analysis for rating TV shows
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Automatic subtitle generation for Bengali multimedia using deep learning
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Sentiment analysis on mobile operators’ customer review
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Text classification with an efficient preprocessing technique for cross-language and multilingual data
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Bang-lish sentiment classification using deep learning
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A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
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Market demand analysis using NLP in Bangla language
بواسطة: Hossain, Md Sabbir, وآخرون
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Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
بواسطة: Jahan, Rufyda
منشور في: (2019)

Computational analysis and detection of Bengali communal violent speech
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Recognizing sentimental emotions in text by using Machine Learning
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Automated essay scoring for Bangla
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A multimodal approach of sentiment analysis to predict customer emotions towards a product
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Sign language detection and conversion to readable Bengali words using BdSL
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Feature unification for morphological parsing in Bangla
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Natural language processing for online applications : text retrieval, extraction, and categorization /
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TikNep: content analysis of Nepali TikTok users using natural language processing
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Analyzing users’ sentiment towards video games based on reviews from microblog
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