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 Digital Vibe Checker for YouTube, developed by Ananya. This Python tool automates comment extraction via Google API and performs sentiment analysis using NLTK VADER. Generates a visual dashboard (Pie, Bar, Scatter, Time Series) to track community mood vs. engagement. Includes secure .env handling pagination for large datasets and CSV data export.

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

A data-driven NLP project leveraging machine learning and text analytics to uncover operational bottlenecks and customer sentiment in Starbucks reviews.

A Natural Language Processing project to determine what Bernie supports might do in 2020

Automated drug adverse event analysis pipeline — REST API ingestion, NLP (TF-IDF + VADER), and Streamlit dashboard on 10K+ OpenFDA records

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

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).

AI-powered sentiment analysis web app with a Logistic Regression + VADER dual-engine classifier, active MLOps retraining, and batch CSV analytics. Dockerized and deployed on Render.

Detects psychological manipulation vectors in text. Maps social engineering tactics to cognitive biases using VADER NLP + MITRE ATT&CK framework.

Continuous pain-point discovery from Reddit — fetch, sentiment-filter, LLM-extract, dedup, accumulate.

Predicting which software tickets will stall by analysing the sentiment of developer email discussions around them. Apache Hadoop dataset, 2018–2024.

News sentiment analysis: multi-model NLP (FinBERT, VADER, TextBlob) with Prophet forecasting and real-time multi-source aggregation.

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

Scores media content across 7 psychological engagement dimensions. Maps Seligman, Cialdini, Russell, Loewenstein, and Kahneman frameworks to content strategy signals.

A Django-based web application that fetches Instagram posts via the Graph API and performs real-time sentiment analysis using VADER NLP.

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.

📰 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).