Popular GitHub Repositories for Vader

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.

This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.

LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.

Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.

This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock

A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.

A web application that allows users to scrape comments from a Reddit post, perform sentiment analysis on them, and provide data analytics in the form of bar graphs and pie charts. The app aims to provide insights into the sentiment distribution of comments and offer a filtered view of comments based on their sentiment.

stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

A Discord sentiment analysis bot that encourages positivity and rewards server members for saying nice things :). Built using Node.js and Discord.js

Python script to generate a PDF report based on sentiment analysis, words usage, personality insights, tone analysis and facial expressions from an input video. A project I got to do as an Intern.

Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER

In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

I used Catboost for training a model on the numerical features of every YouTube video (e.g., the number of views, comments, likes, etc.) along with sentiment analysis of the video descriptions and comments using the VADER sentiment analysis model.

Analyse sentiments of Instagram users based on their post captions

Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.