Creating domain dependent Turkish WordNet and SentiNet

Name: Creating domain dependent Turkish WordNet and SentiNet
Author: Arıcan, B. N., Özçelik, M., Aslan, D. B., Sarmış, E., Parlar, S., Yıldız, Olcay Taner

İsim	Creating domain dependent Turkish WordNet and SentiNet
Yazar	Arıcan, B. N., Özçelik, M., Aslan, D. B., Sarmış, E., Parlar, S., Yıldız, Olcay Taner
Basım Tarihi:	2021
Basım Yeri	- Global WordNet Association
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-946402731-0
Kayıt Numarası	a91df4d9-f2f9-4821-9149-126510249e88
Lokasyon	Computer Science
Tarih	2021
Örnek Metin	A WordNet is a thesaurus that has a structured list of words organized depending on their meanings. WordNet represents word senses, all meanings a single lemma may have, the relations between these senses, and their definitions. Another study within the domain of Natural Language Processing is sentiment analysis. With sentiment analysis, data sets can be scored according to the emotion they contain. In the sentiment analysis we did with the data we received on the Tourism WordNet, we performed a domain-specific sentiment analysis study by annotating the data. In this paper, we propose a method to facilitate Natural Language Processing tasks such as sentiment analysis performed in specific domains via creating a specific-domain subset of an original Turkish dictionary. As the preliminary study, we have created a WordNet for the tourism domain with 14,000 words and validated it on simple tasks.

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Creating domain dependent Turkish WordNet and SentiNet

Yazar Arıcan, B. N., Özçelik, M., Aslan, D. B., Sarmış, E., Parlar, S., Yıldız, Olcay Taner

Basım Tarihi 2021

Basım Yeri - Global WordNet Association

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-946402731-0

Kayıt Numarası a91df4d9-f2f9-4821-9149-126510249e88

Lokasyon Computer Science

Tarih 2021

Örnek Metin A WordNet is a thesaurus that has a structured list of words organized depending on their meanings. WordNet represents word senses, all meanings a single lemma may have, the relations between these senses, and their definitions. Another study within the domain of Natural Language Processing is sentiment analysis. With sentiment analysis, data sets can be scored according to the emotion they contain. In the sentiment analysis we did with the data we received on the Tourism WordNet, we performed a domain-specific sentiment analysis study by annotating the data. In this paper, we propose a method to facilitate Natural Language Processing tasks such as sentiment analysis performed in specific domains via creating a specific-domain subset of an original Turkish dictionary. As the preliminary study, we have created a WordNet for the tourism domain with 14,000 words and validated it on simple tasks.