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John Kordonis's Projects

twitter-2 icon twitter-2

DowJones stock prediction using Twitter sentiment & financial features

twitter-python icon twitter-python

Simple example scripts for Twitter data collection with Tweepy in Python

twitter-sentiment-analysis-1 icon twitter-sentiment-analysis-1

R shiny web application to scrape tweets based on user-defined search keyword and perform sentiment analysis of the tweets. Sentiment analysis of tweets consists of classifying tweets into emotion classes (i.e., anger, disgust, fear, joy, sadness and surprise) and also polarity classes (i.e., negative, neutral and positive) using naïve Bayes classifier. The tweets are scraped, classified into sentiment classes and visualized in R using twitteR, sentiment and ggplot2 packages, respectively.

twitter-tap icon twitter-tap

A python tool for collecting tweets in mongoDB using the search API

twitter_nltk_volkswagen icon twitter_nltk_volkswagen

A sentiment analysis regarding the volkswagen emissions scandal capturing and analyzing large amounts of tweets from Twitter.

twitterresearch icon twitterresearch

A starter kit with code for data collection, preparation, and analysis of digital trace data collected on Twitter

twittersearch icon twittersearch

A Python library to easily iterate tweets found by the Twitter Search API

twython icon twython

Actively maintained, pure Python wrapper for the Twitter API. Supports both normal and streaming Twitter APIs.

upordown icon upordown

Predicting whether a stock will go up or down using BigML and data from Quandl and PsychSignal

workshop icon workshop

Workshop: Scraping Twitter and Web Data Using R

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