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.

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.

A Python library that can apply: darth vader, echo, radio, robotic, and ghost effects to audio samples.

Multilanguage version of VADER Sentiment Analysis with automatic language-detection

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.

This sentiment analysis API uses Flask-restful and provides a positive or negative sentiment response to input query.

Java wrapper around several sentiment analysis tools, that was created for MixedEmotions project, created by BUT.

Docker pipeline for streaming tweets and their sentiment score to a Slack channel

This is a Python-based project that performs natural language proccessing to get sentiment analysis of Reddit comments using the Vader model and PRAW (Python Reddit API Wrapper) to get data from Reddit.

An AI-powered financial intelligence platform, Hybrid-RAG for accurate financial term retrieval and market news summarization. It also integrated sentiment analysis for market mood insights and optimized the RAG retrieval pipeline for improved query relevance.

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

An AWS lambda microservice that accepts a sentence as input, and returns a sentiment score.

A near real-time sentiment analysis system for YouTube live chat using a big data stack. Built with Kafka, Spark Structured Streaming, Elasticsearch, Kibana, Flask, and React.js to collect, process, and visualize live messages.

Stock prediction using LSTM and NLP

A work in process message sentiment analyser using the VADER NTLK Sentiment Analysis tool.

Instagram and Threads are two major social media platforms that are widely used worldwide. Considering the prevalence of social media in today's world, the sentiment surrounding such platforms is of relevance when studying societal trends and patterns.

A web-based journaling app that uses Natural Language Processing to analyze sentiment from daily journal entries. Built with Streamlit, it visualizes emotional trends using interactive charts and automatically detects mood.

A collection and sentiment analysis platform for tweets.

Sentweet is a sentiment analyzer that uses the Twitter API.