Personal Lab Notebooks

Retrieve semantically similar Steam games.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow

Demo für das Analysieren von Patentschriften. Ähnliche Patentschriften werden gefunden und angezeigt. Damit können zu den Patenten Texte generiert werden. Mehr auf https://www.artikelschreiber.com/

Topic Modelling for Humans

Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.

This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.

all of my master's thesis.

french word vectors

Summarise text using the various libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.

This project analyzed and classified French tweets related to climate change and drought using NLP and Machine Learning.

Pelican plugin to list similar posts to articles, based on a vector space model.

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language.

Simple Indonesian text classifier

Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition

End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.

📓 Long(er) text representation and classification using Doc2Vec embeddings

This project implements a Transformer model from scratch using PyTorch, achieving over 80% accuracy on a selected dataset. It includes data preprocessing, model construction, training, and optimization techniques to enhance performance.