This project aims to analyze the sentiment of AI-related discussions and comments on Reddit using machine learning techniques and LSTM models. The goals include accurate classification of comments and posts as positive, negative, or neutral, comparing different machine learning models, and exploring trends in sentiment over time.
Python Keras VADER Sentiment Analyzer LSTM Linear SVC KNeighbors Random Forest Logistic Regression Natural Language Processing Reddit Praw
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The PMI scheduler is a tool specifically designed to manage and track military aircraft during maintenance inspections, optimizing maintenance operations and ensuring timely and organized inspections.
Javascript React.js Meteor.js Bootstrap MongoDB FullCalendat Agile Project Management
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The objective of this research is to address inquiries regarding the challenges confronted by developers in mobile security, the evolution of trends in mobile security topics over time, and the specific mobile security software that presents the most challenging questions on Stack Overflow.
Python Topic Modelling Text Analysis Natural Language Processing Stack Overflow
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The modern legislative tracker app, developed for the Hawaii Department of Education, streamlines the process of staying updated on upcoming hearings and writing testimonies. Through the integration of custom-built scrapers, the app ensures accurate and real-time information retrieval, facilitating efficient engagement with legislative matters.
Javascript Bootstrap MongoDB React.js Express.js Meteor.js Agile Project Management HACC
Read More05 Oct 2022
Abstract—Individuals who share hate speech tend to disguise their words with special characters or even sarcasm, thus making it a difficult task for basic algorithms to block such content. An efficient technique is needed to detect these speeches automatically as...
Machine Learning Natural Language Processing
