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
A Python-based system that analyzes market sentiment from news sources to generate trading signals. Combines NLP (VADER & BERT) with technical indicators to identify trends in commodities and indices (Gold, Oil, S&P 500, Nasdaq).
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
A Flask web app that analyzes sentiment in news articles and generates word clouds to visualize emotional trends in current events
📰 A multilingual news analysis tool that scrapes articles, performs sentiment analysis using VADER, and generates Hindi audio summaries using Streamlit and gTTS (Google Text-to-Speech).
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