Popular GitHub Repositories for Political Parties

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

An R package for Keyword Assisted Topic Models

A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.

Open source framework for using LLMs to forecast political, economic, and social events.

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 Science at University of São Paulo

Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

Comprehensive open-source intelligence platform analyzing Swedish political activities using AI and data visualization. Tracks politicians, government institutions, and parliamentary data, offering detailed insights, performance metrics, and advanced analytics.

ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence (NAACL 2022)

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.

A deep learning model to detect the political sentiment of written text

Political Misogynistic Discourse Monitor team from the 2021 JournalismAI Collab Challenges

Artificial Intelligence for mass political profiling and covert election interference.

Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.

Awesome Speech Dataset, including download links and a brief explanation for each resource. These datasets provide diverse and high-quality speech data covering various domains such as conversational, academic, political, and more.

A transformer-based language model trained on politics-related Twitter data. This repo is the official resource of the paper "PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter", LREC 2022

A multilingual DeBERTa model fine-tuned on political communication to classify discrete emotions

Thesis project concerning classification of true and fake political, gossip world news using Machine Learning and Deep Learning Techniques

A program to automate testing open source LLMs for their political compass scores

A mDeBERTa model fine-tuned to classify positive and negative moral and emotional appeals in political communication.