Humanly is a linear SVM multi-label classifier that detects whether text is toxic, severely toxic, obscene, threatening, insulting, and/or identity-hating. Created during the inaugural AI4ALL Research Fellowship from February to April 2018. Mentored by Priya Vijayarajendran, CTO of Applied AI at IBM.
My experiments and results can be found at https://medium.com/ai4allorg/making-the-internet-a-safer-place-with-ai-f97cf46b3f16.
Python 2.7+ or 3.4+. Packages: NLTK, scikit-learn, NumPy, SciPy. To install these packages, run:
pip install numpy
pip install scipy
pip install sklearn
pip install nltkDownload the training data from https://drive.google.com/file/d/19BmCuhMdYAPafpWP6Ei0ZvlxDCXEUkat/view?usp=sharing and rename it as 'train.csv'.
python runner.py