Open datasets and research resources we gratefully build on
Appraise.net's analysis benefits from a number of openly published datasets, lexicons, and research resources. We're grateful to the researchers and institutions who created and shared them, and we credit them here in accordance with their licenses.
Princeton University "About WordNet." WordNet. Princeton University. 2010. WordNet is a lexical database of English maintained by Princeton University and is used under the WordNet License.
Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. "SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining." In Proceedings of LREC 2010. Used under CC BY-SA 4.0.
Saif M. Mohammad. 2018. "Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words." In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia. National Research Council Canada. Resource page: saifmohammad.com/WebPages/nrc-vad.html. Used for research and evaluation purposes.
The “registered across N TLDs” footprint shown on consensus appraisals is a live market-interest indicator provided by dotDB, which tracks how widely a name's root is registered across domain extensions. It is displayed as market context and is not a factor in our valuation.
Comparable-sale records shown on appraisal pages and in our accuracy gallery are sourced from NameBio, the domain industry's largest searchable database of historical domain sales, with thanks to Michael Sumner. Each comparable links to its verifiable NameBio sales-history page.
The daily .com statistics on our Market Intelligence pages, names added and dropped and the nameserver mix, are computed on our own systems from the .com zone file published by the registry through ICANN's Centralized Zone Data Service. We publish aggregate counts only; the zone data itself is never redistributed.
The measured Search Volume figure shown on keyword-type appraisals (monthly US searches and average cost-per-click) comes from Google Ads keyword-planning data, obtained through a licensed data provider. It is shown for market context only and does not change the appraised value.
Historical domain-sales data referenced in our published research is compiled from DNJournal's year-end top-sales charts (dnjournal.com), reported by Ron Jackson, whose sales reporting has served as the domain industry's ledger of record for over twenty years.
Trademarks and resources are the property of their respective owners. If you believe a resource is used in error or should be credited differently, please contact us and we'll correct it promptly.