Skip to content

Source code for paper "From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis" published at the 13th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) organized during the 23rd IEEE International Conference on Data Mining (ICDM 2023)

Notifications You must be signed in to change notification settings

CLARIN-PL/text-augumentation-with-chatgpt

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

text-augumentation-with-chatgpt

Source code for paper "From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis" published at the 13th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) organized during the 23rd IEEE International Conference on Data Mining (ICDM 2023)

About

Source code for paper "From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis" published at the 13th ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) organized during the 23rd IEEE International Conference on Data Mining (ICDM 2023)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published