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Loading the data set & Exploratory Data Analysis.Let’s divide the classification problem into the below steps:
Clean text python code#
I have uploaded the complete code on GitHub: In this article, I would like to take you through the step by step process of how we can do text classification using Python. It is one of the fundamental tasks in Natural Language Processing with broad applications such as sentiment-analysis, spam-detection, topic-labeling, intent-detection etc. It is a process of assigning tags/categories to documents helping us to automatically & quickly structure and analyze text in a cost-effective manner.
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Text classification is one of the important task in supervised machine learning (ML). Text can be a rich source of information, but due to its unstructured nature it can be hard to extract insights from it. Unstructured data in the form of text: chats, emails, social media, survey responses is present everywhere today.