You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A web scraping and sentiment data analysis of 707 Star Trek episodes, including The Original Series, The Animated Series, The Next Generation, Deep Space Nine, Voyager, and Enterprise.
Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
The goal of this project was build recommender systems using K-means and ALS based on the average ratings. It recommends similar books, recommends author based on a book title, recommends high rated books of the author.
"Factual Eye" is a Fake News Detection mobile application developed as our graduation project. Utilizing machine learning and deep learning models, our project aims to combat misinformation effectively.
A FER, AFINN and Heart-Monitoring system to intergrate into NLP/LLM engine games and more, by detecting the player's heart rate and emotional state throught gameplay to create more reactive scenarios and NPCs
The objective of the project is to detect the underlying sentiments of the product reviews. Classifying the reviews as positive, negative and neutral helps to determine the overall emotion behind the product and assist business strategies.