Web Blog Using Machine Learning and Angular

Authors

  • Udaya Rani School of Computing and Information Technology, REVA University, Bengaluru, India
  • M Siva Krishna Teja School of Computing and Information Technology, REVA University, Bengaluru, India
  • Lokesh Devathi School of Computing and Information Technology, REVA University, Bengaluru, India
  • N N Udaya Kiran School of Computing and Information Technology, REVA University, Bengaluru, India
  • Rohith School of Computing and Information Technology, REVA University, Bengaluru, India

DOI:

https://doi.org/10.5281/zenodo.7920962

Keywords:

Semantic Analysis, Text Summerization, Natural Language Processing(NLP), Key Phrases Extraction, Entity Recognition

Abstract

  The blogging project is a client-server application built over an Google cloud firebase. Blogging, short for web logging, is an application that runs on a portal site, in which different users (and user groups) can publish and revise daily journal entries, and these entries will be made public for others to view. In essence, it gives everyone his or her own personal editorial column to publish to the world. The purpose of online website blogging is to automate the existing manual system by the help of computerized equipments and full-fledged computer software, fulfilling their requirements, so that their valuable data/information can be stored for a longer period with easy accessing and manipulation of the same. The required software and hardware are easily available and easy to work with.

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Published

2023-05-10

How to Cite

Udaya Rani, M Siva Krishna Teja, Lokesh Devathi, N N Udaya Kiran, & Rohith. (2023). Web Blog Using Machine Learning and Angular . International Journal of Computational Learning & Intelligence, 2(2), 70–75. https://doi.org/10.5281/zenodo.7920962

Issue

Section

RESEARCH ARTICLES