@inproceedings{ogbuju-onyesolu-2019-development,
title = "Development of a General Purpose Sentiment Lexicon for {I}gbo Language",
author = "Ogbuju, Emeka and
Onyesolu, Moses",
editor = "Axelrod, Amittai and
Yang, Diyi and
Cunha, Rossana and
Shaikh, Samira and
Waseem, Zeerak",
booktitle = "Proceedings of the 2019 Workshop on Widening NLP",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3601",
pages = "1",
abstract = "There are publicly available general purpose sentiment lexicons in some high resource languages but very few exist in the low resource languages. This makes it difficult to directly perform sentiment analysis tasks in such languages. The objective of this work is to create a general purpose sentiment lexicon for Igbo language that can determine the sentiment of documents written in Igbo language without having to translate it to English language. The material used was an automatically translated Liu{'}s lexicon and manual addition of Igbo native words. The result of this work is a general purpose lexicon {--} IgboSentilex. The performance was tested on the BBC Igbo news channel. It returned an average polarity agreement of 95{\%} with other general purpose sentiment lexicons.",
}
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<abstract>There are publicly available general purpose sentiment lexicons in some high resource languages but very few exist in the low resource languages. This makes it difficult to directly perform sentiment analysis tasks in such languages. The objective of this work is to create a general purpose sentiment lexicon for Igbo language that can determine the sentiment of documents written in Igbo language without having to translate it to English language. The material used was an automatically translated Liu’s lexicon and manual addition of Igbo native words. The result of this work is a general purpose lexicon – IgboSentilex. The performance was tested on the BBC Igbo news channel. It returned an average polarity agreement of 95% with other general purpose sentiment lexicons.</abstract>
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%0 Conference Proceedings
%T Development of a General Purpose Sentiment Lexicon for Igbo Language
%A Ogbuju, Emeka
%A Onyesolu, Moses
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F ogbuju-onyesolu-2019-development
%X There are publicly available general purpose sentiment lexicons in some high resource languages but very few exist in the low resource languages. This makes it difficult to directly perform sentiment analysis tasks in such languages. The objective of this work is to create a general purpose sentiment lexicon for Igbo language that can determine the sentiment of documents written in Igbo language without having to translate it to English language. The material used was an automatically translated Liu’s lexicon and manual addition of Igbo native words. The result of this work is a general purpose lexicon – IgboSentilex. The performance was tested on the BBC Igbo news channel. It returned an average polarity agreement of 95% with other general purpose sentiment lexicons.
%U https://aclanthology.org/W19-3601
%P 1
Markdown (Informal)
[Development of a General Purpose Sentiment Lexicon for Igbo Language](https://aclanthology.org/W19-3601) (Ogbuju & Onyesolu, WiNLP 2019)
ACL