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.

Bibliografiset tiedot
Päätekijät:	Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Muut tekijät:	Ashraf, Faisal Bin
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	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
Linkit:	http://hdl.handle.net/10361/21814

Samankaltaisia teoksia

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

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

Predicting stock market movement using sentiment analysis of twitter feed
Tekijä: Chakraborty, Pranjal, et al.
Julkaistu: (2017)

References validation in scholarly articles using RoBERTa
Tekijä: Nasib, Abdullah Umar
Julkaistu: (2023)

Heart disease prediction system
Tekijä: Amit, Tayab Al Azad, et al.
Julkaistu: (2022)

An advanced hospital rating system using machine learning and natural language processing
Tekijä: Tamjid, Ali Asgar, et al.
Julkaistu: (2023)

Amazon product reviews sentiment analysis using supervised learning algorithms
Tekijä: Hawladar, Mohibullah, et al.
Julkaistu: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
Tekijä: Farabe, Abdullah Al, et al.
Julkaistu: (2021)

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

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

A counseling system to predict the study path for freshmen
Tekijä: Usha, Rowshni Tasneem, et al.
Julkaistu: (2019)

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

A feature selection approach to determine obesity using machine learning method
Tekijä: Antor, Shahidul Alam, et al.
Julkaistu: (2021)

Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
Tekijä: Sajid, Abul Kasem, et al.
Julkaistu: (2021)

Cyberbullying Detection using Machine Learning from Social Media comments in Bangla Language
Tekijä: Tuhin, Saikat Halder, et al.
Julkaistu: (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
Tekijä: Shruti, Abanti Chakraborty
Julkaistu: (2024)

A hybrid rumor detection model derived from a comparative study of supervised approaches
Tekijä: Aothoi, Mehzabin Sadat, et al.
Julkaistu: (2023)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
Tekijä: Bhattacharjee, Ruposri, et al.
Julkaistu: (2024)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Tekijä: Rahee, Arnob, et al.
Julkaistu: (2021)

Analyzing the security of e-Health data based on a hybrid federated learning model
Tekijä: Shafin, Md. Mehtabul Islam, et al.
Julkaistu: (2023)

Share market forecasting with LSTM neural network and sentimental trend prediction
Tekijä: Rony, Ismail Hossain, et al.
Julkaistu: (2020)

Predicting brain age from EEG signals using machine learning and neural network
Tekijä: Pratanu, Abul Mushfique Muslah, et al.
Julkaistu: (2023)

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

Analysis on the effects of wallstreetbets on the stock market
Tekijä: Hossain, Abir, et al.
Julkaistu: (2022)

Text classification using machine learning algorithms
Tekijä: Hasnat, Fahim, et al.
Julkaistu: (2018)

Social media terraforming media landscape
Tekijä: Zayed, Abdullah
Julkaistu: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
Tekijä: Alam, Auninda, et al.
Julkaistu: (2021)

Hate speech detection using machine learning techniques
Tekijä: Manzoor, Tahbib, et al.
Julkaistu: (2024)

An analytic framework on food trend of Dhaka city using social media reviews and real time data set
Tekijä: Alif, Redwanul Alam
Julkaistu: (2017)

Predicting regional accents of Bengali language using deep learning
Tekijä: Ibrahim, Md. Abu, et al.
Julkaistu: (2022)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
Tekijä: Mahmud, Mahmudul Hasan
Julkaistu: (2021)

Flood prediction using machine learning models
Tekijä: Syeed, Miah Mohammad Asif, et al.
Julkaistu: (2022)

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

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
Tekijä: Safa, Bushra, et al.
Julkaistu: (2023)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Tekijä: Tasnim, Anika, et al.
Julkaistu: (2022)

Parking data analysis
Tekijä: Ahamed, Kasfi, et al.
Julkaistu: (2023)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
Tekijä: Mahmud, Shakib Izaz, et al.
Julkaistu: (2022)

Prediction of bipolar disorder from mental episodes using machine learning approach
Tekijä: Tasmeem, Sumaiya, et al.
Julkaistu: (2023)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
Tekijä: Mahmud, Booshra Nazifa, et al.
Julkaistu: (2019)

Heart disease prediction using techniques of classification in machine learning
Tekijä: Afrose, Sadia, et al.
Julkaistu: (2021)