This repository includes three academic projects for the course Artificial Intelligence II of MSc in Computer Science University of Athens (UoA) - Fall Semester 2023.
The three projects deal with sentiment analysis on a binary classification problem. The sentiment analysis aims to train a model classifier that will predict the sentiment of a positive or a negative movie review from IMDB movies.
Brief project description
- Homework 1: Use of sklearn python module to develop and test different Machine Learning algorithms for binary classification. The predictive performance of each model was tested.
- Homework 2: Use of PyTorch feed forwards networks and deep learning techniques with Linear hidden layers to create a feed forward neural network for sentiment binary classification.
- Homework 3: Use of PyTorch feed forwards networks with bidirectional LSTM, GRU cells.
Author: Spanos Nikolaos (Candidate of MSc in Computer Science)
Supervisor: Professor Manolis Koumparakis
Final grades:
- Homework 1: 10/10
- Homework 2: 10.5/10
- Homework 3: 10.5/10
BibTex template for citations
@misc{SpanosArtificialIntelligenceII2023,
author = {Spanos, Nikos},
title = {Artificial Intelligence II},
institution = {University of Athens},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/NikosSpanos/artificial-intelligence-ii-course}}
}