News Articles Classification | NLP | Text Classification | Hands-on with Python | Doc2vec | Part 4
This video is Part 4 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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