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Emotional analysis keywords extracted from news
- Citation Author(s):
-
HeNiu
- Submitted by:
- He Niu
- Last updated:
- Thu, 09/19/2024 - 11:18
- DOI:
- 10.21227/fx19-tp65
- Data Format:
- License:
140 Views- Categories:
- Keywords:
Abstract
We gathered a total of 1,515 news articles concerning suicide, building jumps, and related incidents from 2019 to 2024. Utilizing sentiment analysis tools, we categorized the data into two groups: positive sentiment words and negative sentiment words. Our primary objective was to examine the relationship between negative sentiment words and other associated terms.
We gathered a total of 1,515 news articles concerning suicide, building jumps, and related incidents from 2019 to 2024. Utilizing sentiment analysis tools, we categorized the data into two groups: positive sentiment words and negative sentiment words. Our primary objective was to examine the relationship between negative sentiment words and other associated terms.
Finally, we obtained the ultimate sentiment vocabulary, which consists of 6,848 positive sentiment words, 13,141 negative sentiment words, and 52 severely negative sentiment words.
Documentation
| Attachment | Size |
|---|---|
 readme.md | 550 bytes |
