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

• UpdatedDec 5, 2023
• Python

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

• UpdatedMar 28, 2023
• Python

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

• UpdatedFeb 10, 2023
• Python

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.

• UpdatedJan 16, 2023
• Java

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

• UpdatedDec 8, 2022
• Python

A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

• UpdatedDec 9, 2023
• Jupyter Notebook

JavaScript port of VADER sentiment analysis tool

• UpdatedMar 19, 2020
• JavaScript

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

• UpdatedFeb 3, 2023
• Python

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

• UpdatedMay 5, 2021
• Python

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.

• UpdatedAug 10, 2025
• Python

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.

• UpdatedJul 4, 2023
• Python

📷 An app to scrap instagram posts and analyze data.

• UpdatedApr 21, 2019
• Python

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

• UpdatedJul 30, 2022
• Jupyter Notebook

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

• UpdatedOct 14, 2020
• Jupyter Notebook

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

• UpdatedOct 10, 2022
• Jupyter Notebook

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

• UpdatedAug 26, 2025
• JavaScript

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

• UpdatedMar 2, 2023
• JavaScript

Sentiment analysis for tweets written in Portuguese-Brazil

• UpdatedMar 1, 2024
• Python

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.

• UpdatedDec 5, 2022
• TeX

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

• UpdatedSep 17, 2020
• Python