Context

I decided to perform a multi-label classification task. It can classify an abstract within multiple keywords. The main goal is to categorize some optimized keywords based on papers abstract to show the paper to the relatable users. That's why I scraped IEEE. I fetched papers abstract and the keywords. Then performed necessary cleaning and tasks.

• The scraper program for data collection is available at Scientific Papers Keywords Categorization git repo.
• The classifier integration is live here.

Dataset Containings

File Name: [All the .csv files within scraped_data folder]

• abstracts: The abstract of the paper.
• ieee_keywords: The given IEEE keywords.
• author_keywords: The keywords given by the author.

File Name: paper_details_final_data.csv

• abstracts: Th abstract of the paper.
• final_keywords: It contains the unique keywords from author and ieee keywords.

Acknowledgements

I used IEEE to scrape the dataset. If you use the data research purpose, kindly add a citation.

Inspiration

This dataset can be used for natural language processing tasks mostly for single-label and multi-label classifications.