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.

VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.

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).

A Flask web app that analyzes sentiment in news articles and generates word clouds to visualize emotional trends in current events

Enterprise-grade news sentiment analysis platform with ML-powered predictions and real-time multi-source aggregation

📰 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).

A real-time sentiment analysis tool that tracks public opinion about any topic by collecting and analyzing posts from Reddit and Hacker News

Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.

European News Intelligence Hub with AI-powered sentiment analysis, semantic search, and automated hourly scraping from 12+ EU news sources. Real-time media monitoring for intelligence analysts.