Łukasz Augustyniak's repositories
sentiment-aspects
Aspect-based Sentiment Analysis for News Bias - RENOIR Project
awesome-public-datasets
An awesome list of (large-scale) public datasets on the Internet. (On-going collection)
twiitter-trump-sentiment
NLG based on Trump's tweets
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
brat-docker
containerised brat (http://brat.nlplab.org/)
caravel
Caravel is a data exploration platform designed to be visual, intuitive, and interactive
CNN-for-Sentence-Classification-in-Keras
Convolutional Neural Networks for Sentence Classification in Keras
code_py
A collection of well-commented code snippits for data science
conceptnet5
Code for building ConceptNet from raw data.
data-science-from-scratch
code for Data Science From Scratch book
empath-client
analyze text with empath
glove-python
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
hacker-scripts
Based on a true story
ICCSS2016-Datathon
Data for ICCSS Datathon
implicit
Fast Python Collaborative Filtering for Implicit Datasets
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
laugustyniak.github.io
Build a Jekyll blog in minutes, without touching the command line.
outlook_python
Simple way to look into Outlook's Inbox
playlist-to-vec
An artist recommendation engine, from feeding Spotify playlists through word2vec
python-snippets
My python snippets
RecursiveNeuralTensorNetwork
A deep learning recursive neural tensor network for sentiment analysis, implemented from its source paper.
scholar-scraper
Scrapes citation statistics from Google Scholar
scholar.py
A parser for Google Scholar, written in Python
simple_flask_dockerizer
Settings to create a Docker image for a simple Flask project.
speed-reading-helper
Helper for learning speed reading
textacy
higher-level NLP built on spaCy
wbo-2015-analysis
Analysis of Wrocław Citizen Budget Votings
word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")