English

Reddiment: Eine SvelteKit- und ElasticSearch-basierte Reddit Sentiment-Analyse

Distributed, Parallel, and Cluster Computing 2023-12-22 v1 Computers and Society Information Retrieval Software Engineering

Abstract

Reddiment is a web-based dashboard that links sentiment analysis of subreddit texts with share prices. The system consists of a backend, frontend and various services. The backend, in Node.js, manages the data and communicates with crawlers that collect Reddit comments and stock market data. Sentiment is analyzed with the help of Vader and TextBlob. The frontend, based on SvelteKit, provides users with a dashboard for visualization. The distribution is carried out via Docker containers and Docker Compose. The project offers expansion options, e.g. the integration of cryptocurrency rates. Reddiment enables the analysis of sentiment and share prices from subreddit data.

Keywords

Cite

@article{arxiv.2312.05289,
  title  = {Reddiment: Eine SvelteKit- und ElasticSearch-basierte Reddit Sentiment-Analyse},
  author = {Tobias Bauer and Fabian Beer and Daniel Holl and Ardian Imeraj and Konrad Schweiger and Philipp Stangl and Wolfgang Weigl and Christoph P. Neumann},
  journal= {arXiv preprint arXiv:2312.05289},
  year   = {2023}
}

Comments

Ostbayerische Technische Hochschule Amberg-Weiden, CyberLytics-Lab, Technical Reports, CL-2022-06, July 2022, in German language

R2 v1 2026-06-28T13:45:27.825Z