ASF News Sentiment Lexicon

This repository provides the lexicon and replication materials for the paper:

The impact of African swine fever news sentiment on the Korean meat market

Paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286520

Repository Contents

File	Description
1-word2vec.ipynb	Constructs the African swine fever (ASF) news sentiment lexicon using word embedding results.
2-wordsum.ipynb	Calculates sentiment word counts and sentiment scores from Korean news titles.
asf news data.xlsx	News title data used for the sentiment calculation workflow.
neg_pol_word.txt	Negative Korean sentiment dictionary, based on KNU Korean Sentiment Lexicon resources and extended for ASF news sentiment.
pos_pol_word.txt	Positive Korean sentiment dictionary, based on KNU Korean Sentiment Lexicon resources.
LICENSE	Repository license.

Workflow

1. Run 1-word2vec.ipynb to construct and extend the ASF-related sentiment lexicon.
2. Run 2-wordsum.ipynb to count sentiment words in news titles and calculate sentiment measures.

Original Lexicon Source

The baseline Korean sentiment lexicon files are based on the KNU Korean Sentiment Lexicon:

https://github.com/park1200656/KnuSentiLex

The ASF-related extension was constructed for the research workflow associated with the paper above.

Citation

If you use this repository, please cite the paper linked above and acknowledge the KNU Korean Sentiment Lexicon where appropriate.