Skip to content
#

nlp-keywords-extraction

Here are 285 public repositories matching this topic...

Named Entity Recognition with NER Dataset: Our project focuses on implementing Named Entity Recognition (NER) using a specialized NER dataset. Named Entity Recognition is a natural language processing (NLP) task that involves identifying and categorizing entities (such as names of persons, organizations, locations, etc.) within a body of text.

  • Updated May 7, 2024
  • Jupyter Notebook

In this research project, the goal is to extract information from tweets posted on Twitter social media during disasters and provide knowledge extracted to the organizations, charities and in turn, help them take decisions about disaster recovery. Also, the information extraction process can be automated and will be discussed in the future scope…

  • Updated May 6, 2021
  • Jupyter Notebook

Our project uses a variety of machine learning and deep learning models to forecast supermarkets’ income for the following day based on a multitude of product categories. The main goal of our project is to use feature engineering techniques to improve forecasting accuracy.

  • Updated May 11, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the nlp-keywords-extraction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the nlp-keywords-extraction topic, visit your repo's landing page and select "manage topics."

Learn more