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2016-us-president-election-primary-results-analysis

Correlation analysis between candidates and county facts based on 2016 US President Election Primary Results by county

advertools

advertools - online marketing productivity and analysis tools

ai_in_marketing

This is the code for "AI in Marketing" by Siraj Raval on Youtube

analysing_twitter

Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.

brazillian-electoral-analysis-2017

Twitter analysis in 2017 for the presidential elections in Brazil

capstone2-sentiment-analysis-of-twitter-data

Twitter is a treasure trove of sentiments. In this report, we assess the feasibility of using Python based supervised learning to classify tweets as positive, negative or neutral. The goal of this project is to predict Twitter users’ political sentiment towards electoral college in U.S. for a given Twitter post.

data_engineering_python

data_science_campaigns

Data Science and Political Campaigns Course at Yale

forecasting-us-elections

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

ingenieria-de-datos

Apuntes teoricos y un proyecto ETL del Curso de Ingeniería de datos con Python de Platzi.

mediacommtools

Tools/resources for journalism, media, communication, computational social science

ml_public_policy

Repository for final project of Machine Learning and Public Policy on Python (CAPP30254, UChicago).

mlforpublicpolicy

Class resources for CAPP 30254 (Machine Learning for Public Policy)

network-analysis-made-simple

An introduction to network analysis and applied graph theory using Python and NetworkX

network_lesson

Lesson on Twitter Social Network Analysis

nuevo_leon_elections

Electoral Analysis of Nuevo León: Explore Nuevo Leon's election results from 2021 and its evolution from past election to discover the main sociodemographic metrics effect over the people’s voting preference.

nyu-python-public-policy

Class reference materials for the NYU Wagner Python Coding for Public Policy course

politic-bots

Tools and algorithms to analyze Paraguayan Tweets in times of elections

python-practise-problems

python-public-policy

Python for Public Policy course

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

sentiment-analysis-2018-president-election

Análise de sentimentos relacionados aos candidatos a Eleição para a presidência de 2018

sentiment-analysis-on-twitter-data-ahead-of-2020-us-elections

A sentiment analysis project performed on data collected from Twitter mentioning the two primary contestants in the 2020 US Elections.

twitter-analytics-mining-public-opinion

#Essential Social Informatics techniques #Twitter dataset of Women's March in 2017 #Python codes to collect social media data, and to conduct token/word frequency analysis, geospatial analysis, sentiment analysis, topic modeling and network modeling.

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

twitter-sentiment-analysis--canadian-elections-2019

Sentiment Analysis is a branch of Natural Language Processing (NLP) that allows us to determine algorithmically whether a statement or document is “positive” or “negative”. Sentiment analysis is a technology of increasing importance in the modern society as it allows individuals and organizations to detect trends in public opinion by analyz

twittersentimentanalysis

Simple sentiment analysis with Vader and Tweepy

zhihu-analysis-python

Social Network Analysis of Zhihu with Python

zimbabweelection2018_analysis

Investigative analysis of Zimbabwe's July 2018 harmonized elections using Python and data from Zimbabwe Electoral Commission (ZEC)