SentimentAnalysis
Dictionary-Based Sentiment Analysis
Performs a sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as Harvard IV, or finance-specific dictionaries. Furthermore, it can also create customized dictionaries. The latter uses LASSO regularization as a statistical approach to select relevant terms based on an exogenous response variable.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3-5 |
rolling linux/jammy R-4.5 | SentimentAnalysis_1.3-5.tar.gz |
263.7 KiB |
1.3-5 |
rolling linux/noble R-4.5 | SentimentAnalysis_1.3-5.tar.gz |
263.9 KiB |
1.3-5 |
rolling source/ R- | SentimentAnalysis_1.3-5.tar.gz |
122.7 KiB |
1.3-5 |
latest linux/jammy R-4.5 | SentimentAnalysis_1.3-5.tar.gz |
263.7 KiB |
1.3-5 |
latest linux/noble R-4.5 | SentimentAnalysis_1.3-5.tar.gz |
263.9 KiB |
1.3-5 |
latest source/ R- | SentimentAnalysis_1.3-5.tar.gz |
122.7 KiB |
1.3-5 |
2026-04-26 source/ R- | SentimentAnalysis_1.3-5.tar.gz |
122.7 KiB |
1.3-5 |
2026-04-23 source/ R- | SentimentAnalysis_1.3-5.tar.gz |
122.7 KiB |
1.3-5 |
2026-04-09 windows/windows R-4.5 | SentimentAnalysis_1.3-5.zip |
269.1 KiB |
1.3-5 |
2025-04-20 source/ R- | SentimentAnalysis_1.3-5.tar.gz |
122.7 KiB |