ujahbridget Goto Github PK

conference_workshops

A repo of files used in my workshops and talks

getoldtweets3

A Python 3 library and a corresponding command line utility for accessing old tweets

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

optimized-modified-getoldtweets3-omgot

GetOldTweets-Python is a project written in Python to mine old and backdated tweets, It bypasses some limitations/restrictions of the Twitter API. This Repo houses an improvement fork of the original GetOldTweets Library by [Jefferson Herique](https://github.com/Jefferson-Henrique/GetOldTweets-python). The improvement makes running this package on Windows OS seamless with Python 3.x.

phishing-dataset

Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/

pycon-ng-refactoring-

pycon-nigeria-2019

This repo houses the jupyter notebook presentation for my workshop on Twitter Data Mining, At PyCon NG, Abuja.

social-analysis-project

Project is to analyze people’s sentiment and topics about the new administration. Used Twitter API to collect tweets about President Trump. Conduct sentiment analysis to measure how positive or negative the collected tweets are, which can be an indirect measure of President Trump’s approval. Find what kinds of topics are discussed related to the new president, for which created word clouds and conduct topic modeling on the collected tweets. Compare the geographic variation in opinions, collected tweets from 5 different states and conducted the aforementioned three analyses. Finally, concluded the project by describing the insights gained based on the conducted analyses.

stock-predictions

Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends

twitter-sentiment-python

Currently taking a course on Coursera.org called Introduction to Data Science. The very first programming assignment is called Twitter Sentiment Analysis in Python. I would like to keep track of my progress of the source code for this project and if people want to contribute after the class is over that is good. This is also used as a tutorial for people to learn how to use Twitter API in python to do Twitter sentiment analysis

vadersentiment

VADER Sentiment Analysis. 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.