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.
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.
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.
📷 An app to scrap instagram posts and analyze data.
Sentiment analysis for tweets written in Portuguese-Brazil
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
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Reading the Twitterstream from the Twitter-API with Kafka and stream them into an Spark-Cluster to process it
Sentiment Analysis for Stock Prediction
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
Realtime Twitter Sentiment Analysis
Extract sentiment of every US public company from financial news headlines
Um espaço para compartilhar sua realidade, seu jeito de viver e ver o mundo.
Live sentiment analysis of tweets using Kafka
Sentiment Analysis of Youtube Video Comments using Youtube Data Api
This repository is on the collection of comments from Reddit and how to work with those comments to perform sentiment analysis.
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