VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.
In this notebook, I attempted to create a script that utilizes pre-trained CamemBERT and VaderSentiment models to label the sentiment of a Quran Karim dataset in English and French. My goal was to accurately classify the sentiment of each text sample in the dataset.
A Natural Language Processing project to determine what Bernie supports might do in 2020
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
Add a description, image, and links to the vader-sentiment topic page so that developers can more easily learn about it.
To associate your repository with the vader-sentiment topic, visit your repo's landing page and select "manage topics."