Zero-Shot Classification on Twitter Data
Implemented a Zero-Shot Classification pipeline for Indonesian tweets. Preprocessed text (cleaning, slang normalization), translated to English using Deep Translator, and classified into 8 categories (e.g., Politics, Economy) using the tasksource/deberta-small-long-nli model.
completed
public
Project Highlights
Implemented a Zero-Shot Classification pipeline for Indonesian tweets.
Preprocessed text including cleaning, slang normalization, and removal of special characters.
Translated tweets to English using Deep Translator (Google Translate API).
Classified tweets into 8 categories (e.g., Politics, Economy) using the tasksource/deberta-small-long-nli model.
Utilized Python, Pandas, NLTK, and Hugging Face libraries.
Demonstrated capability in NLP pipelines without labeled training data.
Tech Stack
PythonPandasNLTKHugging FaceDeBERTaDeep Translator