Okes2024 / NLP-for-Sentiment-Analysis-in-Internal-CommunicationsView external linksLinks
This project uses Natural Language Processing (NLP) to perform sentiment analysis on internal communications, helping organizations understand employee mood, identify concerns, and improve workplace engagement through data-driven insights from textual feedback.
☆59Sep 16, 2025Updated 5 months ago
Alternatives and similar repositories for NLP-for-Sentiment-Analysis-in-Internal-Communications
Users that are interested in NLP-for-Sentiment-Analysis-in-Internal-Communications are comparing it to the libraries listed below
Sorting:
- Goal: Predict future employee performance using historical Key Performance Indicators (KPIs). Method: Apply ML models to analyze produc…☆49Aug 7, 2025Updated 6 months ago
- This project leverages machine learning and deep learning to analyze synthetic voice features for detecting potential emotional disorders…☆55Aug 21, 2025Updated 5 months ago
- This project generates synthetic ADHD and control patient data, applying machine learning and statistical analysis to uncover behavioral …☆52Sep 1, 2025Updated 5 months ago
- A Hybrid AI Model Integrating LSTM, XGBoost, and K-Means for Interpretable Prediction and Clustering of Water Quality in Data-Scarce Regi…☆46Feb 9, 2026Updated last week
- ☆36Apr 1, 2025Updated 10 months ago
- This project builds a predictive model to evaluate training effectiveness using employee data, training hours, methods, and performance. …☆54Sep 11, 2025Updated 5 months ago
- This project applies machine learning to detect bias in recruitment decisions, analyzing gender disparities using fairness metrics like D…☆68Sep 16, 2025Updated 5 months ago
- Machine learning to optimize team formation by clustering individuals based on personality traits and strategically forming diverse teams☆45Jul 14, 2025Updated 7 months ago
- This project uses NLP to analyze synthetic patient journals for anxiety trends. It applies text preprocessing, scoring, and topic modelin…☆54Aug 26, 2025Updated 5 months ago
- This project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, comput…☆65Oct 14, 2025Updated 4 months ago
- ☆45Apr 1, 2025Updated 10 months ago
- Text Mining in Employee Feedback Surveys applies natural language processing to analyze employee comments, uncover hidden themes, sentime…☆54Sep 11, 2025Updated 5 months ago
- A prototype chatbot that analyzes symptoms using ML, suggesting possible conditions based on synthetic data. Educational use only, demons…☆61Sep 11, 2025Updated 5 months ago
- Goal: Develop ML models to identify high-risk patients for hospital readmission within 30 days of discharge. Approach: Analyze clinical d…☆50Aug 7, 2025Updated 6 months ago
- ☆44Apr 1, 2025Updated 10 months ago
- Objective: Predict chronic disease onset using Electronic Health Records (EHRs). Method: Apply ML algorithms to identify high-risk pati…☆56Sep 11, 2025Updated 5 months ago
- This project uses synthetic social media data to model and predict depression risk through machine learning. It combines behavioral patte…☆64Oct 27, 2025Updated 3 months ago
- Synthetic modeling of Urban Heat Islands (UHI) using satellite-like data. Generates spectral bands, vegetation and urban indices, and lan…☆49Aug 16, 2025Updated 6 months ago
- This project analyzes emotional dynamics in therapy by modeling sentiment shifts across sessions using synthetic conversations. It detect…☆51Aug 19, 2025Updated 5 months ago
- This project uses synthetic HR data to predict employee attrition through data analysis and machine learning. It explores factors influen…☆61Sep 30, 2025Updated 4 months ago
- project leverages synthetic VR session data to analyze patient responses in exposure therapy. Using statistical and visualization techniq…☆49Aug 12, 2025Updated 6 months ago
- This project demonstrates building a synthetic mental health support chatbot. It generates a labeled dataset, trains an intent classifier…☆59Sep 23, 2025Updated 4 months ago
- This project applies machine learning to predict suicide risk using synthetic psychological, demographic, and behavioral data. It demonst…☆51Aug 25, 2025Updated 5 months ago
- This project uses AI and NLP to automatically screen resumes for cultural fit, helping organizations identify candidates whose values ali…☆53Sep 9, 2025Updated 5 months ago
- ☆36Apr 1, 2025Updated 10 months ago
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆37Dec 26, 2025Updated last month
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆34Mar 13, 2025Updated 11 months ago
- This project leverages AI to screen resumes for cultural fit, enhancing recruitment by matching candidates’ values, work styles, and soft…☆51Sep 3, 2025Updated 5 months ago
- This project simulates EEG signals and applies machine learning to classify stress levels. Using band power features and biomarkers like …☆53Sep 5, 2025Updated 5 months ago
- This project detects deforestation by analyzing Landsat 8 imagery and NDVI changes in Google Earth Engine, identifying significant vegeta…☆59Sep 9, 2025Updated 5 months ago
- ☆37Apr 1, 2025Updated 10 months ago
- This project predicts the quality of water based on various water parameters and pollutants using machine learning and deep learning tech…☆37Feb 9, 2026Updated last week
- This project forecasts renewable energy demand using LSTM-based time series models. It processes historical demand data, trains predictiv…☆55Sep 9, 2025Updated 5 months ago
- ☆38Apr 1, 2025Updated 10 months ago
- ☆37Apr 1, 2025Updated 10 months ago
- A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…☆36Feb 10, 2025Updated last year
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆37Jan 16, 2025Updated last year
- This study aimed to model and predict iron concentrations in groundwater within Yenagoa, Bayelsa State, Nigeria, using machine learning t…☆50Apr 1, 2025Updated 10 months ago
- Gantt-Chart-Auto-Generation-from-Task-Descriptions is a tool that transforms plain task descriptions into structured Gantt charts, enabli…☆39Apr 5, 2025Updated 10 months ago