Collection of scripts corresponding to LucidProgramming YouTube tutorials

A set of visualization tools to help understand patterns and relationships of social media data.

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

Repository of 2022 election forecasts built by students of Harvard Gov 1347.

Visualize and compare datasets, target values and associations, with one line of code.

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 …

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 …

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

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

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

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

Simple sentiment analysis with Vader and Tweepy

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 …

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

Tools and algorithms to analyze Paraguayan Tweets in times of elections

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

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

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Twitter analysis in 2017 for the presidential elections in Brazil

Companion code for the book "Mastering Social Media Mining with Python"

📝 Implementations of Machine Learning and Data Science Methods in Politics.

Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Scie…

Data Science and Political Campaigns Course at Yale

A guide for binary class sentiment analysis of tweets.

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

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

Social Network Analysis of Zhihu with Python