News Articles Classification | NLP | Text Classification | Hands-on with Python | Part 2




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This video is Part 2 of 4

The goal will be to build a system that can accurately classify previously unseen news articles into the right category.

Text classification is the process of assigning tags or categories to text according to its content. It’s one of the fundamental tasks in Natural Language Processing (NLP) with broad applications such as sentiment analysis, topic labeling, spam detection, and intent detection.

We will follow a systematic approach with step by step implementation in Python Programming Language.

Code and Data: https://github.com/DiveshRKubal/Data-Science-Use-Cases/tree/master/News%20Classification

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Comment List

  • Solve Business Problems Using Analytics
    December 4, 2020

    Can you please provide the dataset?
    I can't find the BBC news dataset from kaggle.

  • Solve Business Problems Using Analytics
    December 4, 2020

    Hi. I am trying to find news of tamil, categories in a similar way. But got an error – we need at least 1 word to plot a word cloud, got 0

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