Alejandro Noriega's repositories
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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.
2016-US-President-Election-Primary-Results-Analysis
Correlation analysis between candidates and county facts based on 2016 US President Election Primary Results by county
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
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.
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.
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
TwitterSentimentAnalysis
Simple sentiment analysis with Vader and Tweepy
advertools
advertools - online marketing productivity and analysis tools
AI_In_Marketing
This is the code for "AI in Marketing" by Siraj Raval on Youtube
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_science_campaigns
Data Science and Political Campaigns Course at Yale
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
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-public-policy
Python for Public Policy course
sentiment-analysis-2018-president-election
Análise de sentimentos relacionados aos candidatos a Eleição para a presidência de 2018
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--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
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)