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.

Dettagli Bibliografici
Autori principali:	Mouli, Nazifa, Das, Protiva, Bin Muquith, Munim, Biswas, Aurnab, Kabir Niloy, MD Dilshad
Altri autori:	Karim, Dewan Ziaul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	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)
Accesso online:	http://hdl.handle.net/10361/19357

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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