Zobrazeno 1 - 10
of 11 462
pro vyhledávání: '"nyckelord"'
Autor:
Caliò, Filippo
Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their c
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338333
Autor:
Vahlne, Anna
The purpose of this Master’s thesis is to contribute to knowledge of what author-assigned keywords add to the indexing of Swedish dissertations in literature. This study had two research questions: 1) What types of keywords do the authors choose? 2
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-517577
Denna uppsats analyserar nyckelord som ett modernt sociolingvistiskt fenomen och derasfunktion som samhällets spegel, dess kultur och politik under en viss tid.De ryska nyckelorden och fraserna för perioden 2016-2021 har valts ut och beskrivits. De
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-214439
Autor:
Wojtczak, Adam
Sverige är ett demokratiskt samhälle där medborgarna i allmänna val röstar fram de politiska partier som de vill bli företrädda av i riksdagen. Som medborgare och landets invånare är det av stor vikt att vara medveten om vilka strategier som
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-122108
Autor:
Fredholm, Beatrice, Ståhl, Linnéa
För att kunna delta i dagens samhälle krävs en bra läsförståelse. Trots det, skriver Lundberg och Reichenberg (2011), att det avsätts för lite tid i skolan för att undervisa i detta. Att sammanfatta texter är en strategi inom Reciprok under
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42739
Autor:
Bramell, Fredrik, From, From
Development of different methods for processing information has long been a central area in computer science. Being able to structure and compile different types of information can streamline many tasks that facilitate various assignments. In additio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::1859ea2146265d6dc752bba60ad235be
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-52106
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-52106
Autor:
Stiff, Philip
Nowadays it is common for companies to sit on and gather a lot of data related to their business. The size of this data is often too large to be analyzed by hand and it is therefore becoming more and more common to automate this analysis e.g. by runn
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233200
Autor:
Stiff, Philip
Nowadays it is common for companies to sit on and gather a lot of data related to their business. The size of this data is often too large to be analyzed by hand and it is therefore becoming more and more common to automate this analysis e.g. by runn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c6dac76af01b655ed28f810be0b4de58
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233200
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233200
Autor:
Bodemar, Gustaf
This paper explores an approach to extracting historical insights into a software keyword by data mining GitHub and Libraries.io. We test our method using the keyword GraphQL to see what insights we can gain. We managed to plot several timelines of h
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-186388
Autor:
Bodemar, Gustaf
This paper explores an approach to extracting historical insights into a software keyword by data mining GitHub and Libraries.io. We test our method using the keyword GraphQL to see what insights we can gain. We managed to plot several timelines of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6a91f088063d4efcb2b98131e5bad53e
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-186388
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-186388