HisNet: A polarity lexicon based on WordNet for emotion analysis

Name: HisNet: A polarity lexicon based on WordNet for emotion analysis
Author: Özçelik, M., Arıcan, B. N., Bakay, Ö., Sarmış, E., Bayazıt, N. G., Ergelen, Ö., Taner, Olcay Taner

İsim	HisNet: A polarity lexicon based on WordNet for emotion analysis
Yazar	Özçelik, M., Arıcan, B. N., Bakay, Ö., Sarmış, E., Bayazıt, N. G., Ergelen, Ö., Taner, Olcay Taner
Basım Tarihi:	2021-01
Basım Yeri	- Global Wordnet Association
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-946402731-0
Kayıt Numarası	2817159d-b571-4c35-a327-ade47d547f9d
Lokasyon	Computer Science
Tarih	2021-01
Örnek Metin	Dictionary-based methods in sentiment analysis have received scholarly attention recently, the most comprehensive examples of which can be found in English. However, many other languages lack polarity dictionaries, or the existing ones are small in size as in the case of SentiTurkNet, the first and only polarity dictionary in Turkish. Thus, this study aims to extend the content of SentiTurkNet by comparing the two available WordNets in Turkish, namely KeNet and TR-wordnet of BalkaNet. To this end, a current Turkish polarity dictionary has been created relying on 76,825 synsets matching KeNet, where each synset has been annotated with three polarity labels, which are positive, negative and neutral. Meanwhile, the comparison of KeNet and TR-wordnet of BalkaNet has revealed their weaknesses such as the repetition of the same senses, lack of necessary merges of the items belonging to the same synset and the presence of redundant narrower versions of synsets, which are discussed in light of their potential to the improvement of the current lexical databases of Turkish.

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

HisNet: A polarity lexicon based on WordNet for emotion analysis

Yazar Özçelik, M., Arıcan, B. N., Bakay, Ö., Sarmış, E., Bayazıt, N. G., Ergelen, Ö., Taner, Olcay Taner

Basım Tarihi 2021-01

Basım Yeri - Global Wordnet Association

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-946402731-0

Kayıt Numarası 2817159d-b571-4c35-a327-ade47d547f9d

Lokasyon Computer Science

Tarih 2021-01

Örnek Metin Dictionary-based methods in sentiment analysis have received scholarly attention recently, the most comprehensive examples of which can be found in English. However, many other languages lack polarity dictionaries, or the existing ones are small in size as in the case of SentiTurkNet, the first and only polarity dictionary in Turkish. Thus, this study aims to extend the content of SentiTurkNet by comparing the two available WordNets in Turkish, namely KeNet and TR-wordnet of BalkaNet. To this end, a current Turkish polarity dictionary has been created relying on 76,825 synsets matching KeNet, where each synset has been annotated with three polarity labels, which are positive, negative and neutral. Meanwhile, the comparison of KeNet and TR-wordnet of BalkaNet has revealed their weaknesses such as the repetition of the same senses, lack of necessary merges of the items belonging to the same synset and the presence of redundant narrower versions of synsets, which are discussed in light of their potential to the improvement of the current lexical databases of Turkish.