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@@ -4,25 +4,25 @@ Here you can find a brief overview of my latest projects, including some graded
## Table of contents
* Project 1: A riddle game using Python
* Project 2: Sentiment analysis on Amazon book reviews using NLTK's Vader and RoBERTa
* Project 3: A hybrid approach to symplifying medical documents in French using OpenNMT-py (in progress)
*[Project 1: A riddle game using Python](https://git.unistra.fr/pazakou/projects.git)
*[Project 2: Sentiment analysis on Amazon book reviews using NLTK's Vader and RoBERTa](https://git.unistra.fr/pazakou/projects.git)
*[Project 3: A hybrid approach to symplifying medical documents in French using OpenNMT-py (in progress)](https://git.unistra.fr/pazakou/projects.git)
## Project 1: A riddle game using Python
** Data language: French
** Data language: French **
This game challenges users to guess a randomly selected 5-letter French word from a provided lexicon within 6 attempts. After each guess, correctly placed letters are shown in uppercase, while correct letters in the wrong position appear in lowercase, with accented letters being neutralized, in the backend, to their non-accented form for easier gameplay.
## Project 2: Sentiment analysis on Amazon book reviews using NLTK's Vader and RoBERTa
** Data language: English
** Data language: English **
As part of this personal project, I used NLTK's Vader model to perform sentiment analysis on a dataset consisting of book reviews on Amazon. I compared this bag-of-words approach to the results obtained by the application of the RoBERTa model, which is pretrained on tweets for sentiment analysis, on the same dataset.
### Project 3: A hybrid approach to symplifying medical documents in French using OpenNMT-py (in progress)
## Project 3: A hybrid approach to symplifying medical documents in French using OpenNMT-py (in progress)
** Data language: French
** Data language: French **
This repository will be updated during this semester with the code of my thesis project. The simplification will be carried out in two steps:
