Social media trend analysis to predict the success of products using deep learning technique

Social media trend analysis to predict the success of products using deep learning technique

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Rannpháirtithe:	Ashraf, Faisal Bin
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2023
Ábhair:	Social media Trend analysis Deep learning Sentiment analysis KNN Text mining MLP RoBERTa Random forest BART Decision Tree DistilBERT Social media > Economic aspects Machine learning
Rochtain ar líne:	http://hdl.handle.net/10361/21814

Míreanna comhchosúla

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Sentiment analysis in Bengali Text using NLP
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Analyzing the security of e-Health data based on a hybrid federated learning model
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Share market forecasting with LSTM neural network and sentimental trend prediction
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Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
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Hate speech detection using machine learning techniques
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An analytic framework on food trend of Dhaka city using social media reviews and real time data set
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Predicting regional accents of Bengali language using deep learning
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The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
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Flood prediction using machine learning models
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A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
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Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
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Prediction of bipolar disorder from mental episodes using machine learning approach
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Modelling and forecasting energy demand of Bangladesh using AI based algorithms
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Heart disease prediction using techniques of classification in machine learning
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