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Name: Alejandro Noriega
Type: User
Company: Latam Analytics Group
Bio: Business Development | Policy analyst
Twitter: anoriegall
Location: México
Name: Alejandro Noriega
Type: User
Company: Latam Analytics Group
Bio: Business Development | Policy analyst
Twitter: anoriegall
Location: México
Correlation analysis between candidates and county facts based on 2016 US President Election Primary Results by county
advertools - online marketing productivity and analysis tools
This is the code for "AI in Marketing" by Siraj Raval on Youtube
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
Twitter analysis in 2017 for the presidential elections in Brazil
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 and Political Campaigns Course at Yale
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.
Apuntes teoricos y un proyecto ETL del Curso de Ingeniería de datos con Python de Platzi.
Tools/resources for journalism, media, communication, computational social science
Repository for final project of Machine Learning and Public Policy on Python (CAPP30254, UChicago).
Class resources for CAPP 30254 (Machine Learning for Public Policy)
An introduction to network analysis and applied graph theory using Python and NetworkX
Lesson on Twitter Social Network Analysis
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.
Class reference materials for the NYU Wagner Python Coding for Public Policy course
Tools and algorithms to analyze Paraguayan Tweets in times of elections
Python for Public Policy course
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Análise de sentimentos relacionados aos candidatos a Eleição para a presidência de 2018
A sentiment analysis project performed on data collected from Twitter mentioning the two primary contestants in the 2020 US Elections.
#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.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
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
Simple sentiment analysis with Vader and Tweepy
Social Network Analysis of Zhihu with Python
Investigative analysis of Zimbabwe's July 2018 harmonized elections using Python and data from Zimbabwe Electoral Commission (ZEC)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.