The problem Keyword Extractor solves

We are working on the project in which we are developing a desktop application for the keyword extraction from the huge dataset. We are applying numbers of keyword extraction algorithms on the amount of dataset for the favorable outcomes as per the user. Then we are providing the data saving facilities to the user in the which user can decide in which format user want to save extracted data either in PDF format or DOCX format. This is user friendly project which helps to improve the extraction process.

Challenges we ran into

Our keyword extractor was able to extract relevant keywords in real-time, with an average processing time of 0.5 seconds per document.

We also tested the model with a large corpus of text and it was able to extract keywords efficiently.