Last updated 12-08-2023
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Goodlookup is a smart function for spreadsheet users that combines the intuition of GPT-3 with the join capabilities of fuzzy matching. It is designed to enhance topic clustering work in Google Sheets, allowing users to speed up their data analysis and record linking processes. With Goodlookup, users can overcome the limitations of traditional fuzzy matching and achieve semantic understanding in their data. This innovative tool can match similar text in a way that mimics human understanding, including semantic relationships, synonyms, and even cultural similarities between text strings. By providing a clear and unified view of data scattered across multiple sources with varying naming conventions, Goodlookup empowers users to effectively solve text-to-text record linking problems. Whether it's matching "Ronaldo" to "Ronaldo Luís Nazário de Lima" or matching "Ronaldo" to "Soccer" or "Football," Goodlookup delivers accurate and high-scoring results to ensure efficient and accurate data analysis.
Smart Function for Spreadsheet Users: Goodlookup is a powerful tool designed specifically for users working with spreadsheets providing them with advanced capabilities for data analysis and record linking.
Combines GPT-3 Intuition and Fuzzy Matching: Goodlookup harnesses the intuitive abilities of GPT-3 and the join capabilities of fuzzy matching resulting in a highly accurate and efficient tool for matching and clustering data.
Semantic Understanding: Unlike traditional fuzzy matching Goodlookup goes beyond string matching and considers semantic relationships synonyms and cultural similarities between text strings enabling users to achieve a deeper level of understanding in their data analysis.
Unified View of Disparate Data: With Goodlookup users can overcome the challenge of having data scattered across multiple sources with varying naming conventions. It provides a clear and unified view of the data making it easier to analyze and link related records.
Accurate and High-Scoring Matches: Goodlookup generates accurate matches by considering the intensity of neighboring words in the vector space. Longer strings matching identically to longer strings will have the highest scores ensuring reliable results.