Listings by david-stemper

Crowdfunding datasets

Creators: Web Robots
Publication Date: 2016-03-01

This dataset consists of large-scale web scraping projects that provide publicly available datasets of e-commerce product listings, reviews, pricing, and other related data from various sources such as Kickstarter and Indiegogo. These datasets are used for data mining, analysis, and machine learning applications, enabling users to explore trends in product performance, customer sentiment, and pricing strategies across multiple industries.

Twitter datasets

Creators: GitHub
Publication Date: 2024-10-23

This dataset collects data related to Twitter. It includes various publicly available Twitter datasets for research and analysis, covering a wide range of topics such as user behavior, tweets, hashtags, network analysis, and sentiment analysis.

Meta content library

Creators: Meta
Publication Date: 2024-10-23

Provides comprehensive access to public posts from Facebook, Instagram, and Threads, allowing in-depth research and analysis of social media content.

Wikipedia archive

Creators: DBpedia Association
Publication Date: 2024-10-23

The DBpedia individual datasets extract structured information from Wikipedia, such as labels, facts, geo-coordinates, and Wikipedia categories, with wide language coverage for data analysis.

Clubhouse data

Creators: Kaggle
Publication Date: 2024-10-23

The Clubhouse dataset on Kaggle provides data related to the social audio app Clubhouse. It contains information such as user demographics, room activity, user engagement metrics, and discussions held on the platform.

TikTok dataset

Creators: Kaggle
Publication Date: 2021-xx-xx

The dataset contains data related to TikTok content, including video statistics such as likes, shares, and views, useful for understanding user engagement.

Yahoo songs ratings

Creators: Yahoo labs
Publication Date: varies by dataset

A collection of datasets curated by Yahoo for research purposes, including ratings, social data, and multimedia content, mainly used for recommender systems and machine learning research.

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