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.
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 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
Aspect-based sentiment analysis scoring a local business against nearby competitors across six service aspects. Python, VADER, Streamlit.
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.
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.
Automated drug adverse event analysis pipeline — REST API ingestion, NLP (TF-IDF + VADER), and Streamlit dashboard on 10K+ OpenFDA records
Continuous pain-point discovery from Reddit — fetch, sentiment-filter, LLM-extract, dedup, accumulate.
A Tkinter desktop app for review sentiment analysis using VADER and TextBlob, with charts, filters, and Excel export.
Predicting which software tickets will stall by analysing the sentiment of developer email discussions around them. Apache Hadoop dataset, 2018–2024.
Check for Stocks Social Mentions
A Django-based web application that fetches Instagram posts via the Graph API and performs real-time sentiment analysis using VADER NLP.
A Python-based NLP pipeline designed for Customer Operations. This tool automatically processes raw customer reviews and categorizes them into actionable business insights, isolating high churn risks and prioritizing feature requests.
Airflow + PostgreSQL + Spark pipeline scoring 1.78M Airbnb review texts with VADER sentiment. Local[*] Spark, broadcast-joined enrichment, 17 unit tests.
News sentiment analysis: multi-model NLP (FinBERT, VADER, TextBlob) with Prophet forecasting and real-time multi-source aggregation.
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