2021:TF-IDF (Concept): Revision history

23 April 2024

• curprev 15:1415:14, 23 April 2024‎ Randallkinard talk contribs‎ 26,320 bytes −391‎ No edit summary

18 April 2024

• curprev 11:3811:38, 18 April 2024‎ Randallkinard talk contribs‎ m 26,711 bytes 0‎ Randallkinard moved page 2021:TF-IDF to 2021:TF-IDF (Concept) without leaving a redirect: new naming convention

3 January 2024

• curprev 11:2111:21, 3 January 2024‎ Dgreenwood talk contribs‎ 26,711 bytes −312‎ No edit summary
• curprev 11:2011:20, 3 January 2024‎ Dgreenwood talk contribs‎ m 27,023 bytes 0‎ Dgreenwood moved page TF-IDF - 2021 to 2021:TF-IDF without leaving a redirect

17 October 2023

• curprev 16:1616:16, 17 October 2023‎ Rpatton talk contribs‎ 27,023 bytes +27,023‎ Created page with "<onlyinclude> <blockquote style="font-size:14pt"> TF-IDF (Term Frequency-Inverse Document Frequency) is a numerical statistic intended to reflect how important a word is to a document within a collection (or document set or “corpus”). It is how Grooper uses machine learning for training-based document classification (via the Lexical method) and data extraction (via the Field Class extractor). </blockquote> TF-IDF is designed..."