Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Updated
Dec 5, 2023 - Python
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.
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.
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
JavaScript port of VADER sentiment analysis tool
A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.
stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))
Application made for youtube content creators to know their reviews separately as positive and negative comments.
This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.
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
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.
Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files
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.
This is a trend trading indicator and alert that utilizes the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.
A model to analyze the trends in sentiment of editorial and opinion articles, relating to any topic of current media discussion.
📷 An app to scrap instagram posts and analyze data.
Repo for "Analysing Sentiment towards a new Scottish Independence Referendum".
Byte sized analysis of Data Science Tweets
Sentiment Analysis for Stock Prediction
This project aims to classify the sentiment of tweets on nuclear energy as positive, negative or neutral and extract insight for messaging.
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