Gender: Female
Marti Hearst is a professor in the School of Information at the University of California, Berkeley. She did early work in corpus-based computational linguistics, including some of the first work in automating sentiment analysis, and word sense disambiguation. She invented an algorithm that became known as "Hearst patterns" which applies lexico-syntactic patterns to recognize hyponymy (ISA) relations with high accuracy in large text collections, including an early application of it to WordNet; this algorithm is widely used in commercial text mining applications including ontology learning. Hearst also developed early work in automatic segmentation of text into topical discourse boundaries, inventing a now well-known approach called TextTiling.
Source: Wikipedia | Last updated on May 13, 2024
On the name Marti Hearst, Marti means Lady, War-like, Dedicated to Mars. Hearst means From the Thicket of Trees.
The name Marti Hearst is often used as a Female name and is mostly used as a Last Name.
Marti is commonly found in Spain, United States of America, Italy, and 78 more countries.
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At NamesLook, the name Marti is recorded 7,158 times globally, ranking it as the 7,600th most common name worldwide.
Marti is most prevalent in Spain, with 1,271 occurrences, making it the 895th most popular name in the country.
In Uruguay, the name Marti is found among 1 in every 447 people, showcasing its highest frequency there.
| Country | Rank | Frequency |
|---|---|---|
| Spain | #895 | 1 : 494 |
| United States of America | #2,580 | 1 : 1,514 |
| Italy | #1,784 | 1 : 1,018 |
| Chile | #1,125 | 1 : 1,151 |
| Mexico | #2,497 | 1 : 2,181 |
| Argentina | #853 | 1 : 742 |
| Uruguay | #684 | 1 : 447 |
| France | #6,451 | 1 : 7,285 |
| United Kingdom | #4,469 | 1 : 3,583 |
| Peru | #4,404 | 1 : 8,090 |
This chart displays the ranking of the name Marti from 1980 to 2023, based on the most recent data from the U.S. Social Security Administration.
Marti Hearst is a professor in the School of Information at the University of California, Berkeley. She did early work in corpus-based computational linguistics, including some of the first work in automating sentiment analysis, and word sense disambiguation. She invented an algorithm that became known as "Hearst patterns" which applies lexico-syntactic patterns to recognize hyponymy (ISA) relations with high accuracy in large text collections, including an early application of it to WordNet; this algorithm is widely used in commercial text mining applications including ontology learning. Hearst also developed early work in automatic segmentation of text into topical discourse boundaries, inventing a now well-known approach called TextTiling.
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