Sentiment analysis to determine employee job satisfaction using machine learning techniques

Sentiment analysis to determine employee job satisfaction using machine learning techniques

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

Dades bibliogràfiques
Autors principals:	Mouli, Nazifa, Das, Protiva, Bin Muquith, Munim, Biswas, Aurnab, Kabir Niloy, MD Dilshad
Altres autors:	Karim, Dewan Ziaul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Machine learning Naive bayes K-Nearest Neighbors (KNN) Deep learning Long Short Term Memory(LSTM) Gated Recurrent Unit (GRU) Convolutional Neural Network(CNN) Tokenization Recall Cognitive learning theory (Deep learning)
Accés en línia:	http://hdl.handle.net/10361/19357

Ítems similars

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
per: Hossain, Shoumik, et al.
Publicat: (2022)

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

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

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

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

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

An android application to predict human activity using a deep learning LSTM model
per: Sikder, Debabrata
Publicat: (2024)

Predicting crime using deep learning
per: Shihab, Muhammad Nafees, et al.
Publicat: (2024)

Empowering mobile network planning through deep learning: a path to democratization
per: Nabi, Syed Tauhidun
Publicat: (2024)

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

Leveraging sequential deep learning models for detecting multitude of human action categories
per: Pranta, Kazi Al Refat, et al.
Publicat: (2024)

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
per: Islam, Md Rashidul
Publicat: (2024)

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

Application of CNN based architectures in detection of distracted drivers
per: Arafin, Irfana, et al.
Publicat: (2023)

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

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
per: Saad-Ul-Kabir, Syed, et al.
Publicat: (2021)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
per: Hasan, M. M. Kamrul, et al.
Publicat: (2022)

Fighting depression: psychological approaches among Bangladeshi university students
per: Sen, Sanjib Kumar, et al.
Publicat: (2022)

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

Enhancing crops production based on environmental status using machine learning techniques
per: Talukder, Shiyam, et al.
Publicat: (2021)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
per: Rayhan, Mohammad, et al.
Publicat: (2020)

Document template identification and data extraction using machine learning and deep learning approach
per: Roy, Kaushik, et al.
Publicat: (2024)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
per: Biswas, Sunanda, et al.
Publicat: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
per: Arafat, Sheikh Mohammad, et al.
Publicat: (2021)

A modern technique to detect potholes by Computer Vision and Deep Learning
per: Saif, Muntasir Mahmud, et al.
Publicat: (2023)

Corn leaf disease detection using deep convolution neural network
per: Rabbi, Rawhatur, et al.
Publicat: (2023)

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

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
per: Chakraborty, Dhruba, et al.
Publicat: (2022)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
per: Fiha, Yeamin Jahan, et al.
Publicat: (2022)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
per: Dewanjee, Tanmoy, et al.
Publicat: (2021)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
per: Islam, Zahedul, et al.
Publicat: (2023)

An effective machine learning approach for sentiment analysis of restaurant reviews
per: Karim, Rabita
Publicat: (2018)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
per: Ahmed, Istiak, et al.
Publicat: (2023)

An efficient deep learning approach to detect skin Cancer
per: Islam, Ashfaqul, et al.
Publicat: (2022)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
per: Sarkar, Ripa, et al.
Publicat: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
per: Zubair, Ahmad, et al.
Publicat: (2024)

Real-time foul detection in football matches using machine learning techniques
per: Siddiqui, Bishal Sadi, et al.
Publicat: (2024)

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

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

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
per: Ghosh, Kawshik Kumar, et al.
Publicat: (2023)