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

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

Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.

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 Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.

JavaScript port of VADER sentiment analysis tool

Application made for youtube content creators to know their reviews separately as positive and negative comments.

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

A fully serverless, event-driven data pipeline that ingests, enriches, validates, and visualizes real-time news data using AWS services. Designed for cost-efficient, scalable deployment using only free-tier AWS services.

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.

:camera: An app to scrap instagram posts and analyze data.

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

An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.

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

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

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

Sentiment analysis for tweets written in Portuguese-Brazil

This is a trend trading indicator and alert that utilizes the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.

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.

Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.

Detects bots from a small subset of Twitter accounts and classifies them as positive, negative or neutral by the sentiment of their tweets.

Analyse sentiments of Instagram users based on their post captions

Sentiment analysis using VADER in Scala

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.

Music is a powerful language to express our feelings and in many cases is used as a therapy to deal with tough moments in our lives or as a tool to celebrate the joyous moments. The different sounds, rhythms, and effects used in music are capable to modify our emotions for a moment, but there’s a component that sometimes goes unnoticed when we are listening to music; The Lyrics of the songs. Lyrics are powerful texts that share the ideas that came from the mind of the author when the song was been created.

A powerful golang re-implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) for sentiment analysis.

In this exercise I utilized Python libraries - pandas, numpy, matplotlib.pyplot, tweepy, seaborn, datetime, VADER - JSON traversals, and Twitter's API to perform a sentiment analysis on the news mood based on tweets from five different news organizations - BBC, CBS, CNN, Fox News, and New York times.

A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.

Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files