Text Summarization - Hugging Face & Python
Deepak Chavan
Helping Businesses Simplify Tech & Accelerate Growth ?? | Digital Transformation | IT Operations | Managed Services | GM @ Mphasis | LinkedIn Top Voice ?? PMP, ITIL, Agile SAFe, NLP Practitioner
Text summarization is the process of shortening a piece of text while retaining its key information and meaning. It's a powerful AI NLP technique that condenses long documents into concise summaries. In this blog post, I will be sharing my experience build a simple text summarization tool using Hugging Face and Python. Let’s dive in!
There are two main types of Text Summarization:
?Extractive Summarization: Selects the most important sentences or phrases from the original text.
?Abstractive Summarization: Generates new sentences that capture the essence of the text.
In this project, we’ll use abstractive summarization with Hugging Face’s pre-trained models. I am using Hugging Face because it has pre-trained models for Natural Language Processing (NLP) tasks. Also, it's easy to implement and has free tier access, which gives me flexibility to experiment.
Using Python and Hugging Face’s transformers library, I built a text summarization tool. Here’s how it works. I installed the transformers library using pip. I used pre-trained models "summarization". I used the pipeline API to load a model. I created a function to summarize input text. The model automatically generates a concise summary. I tested the tool with a long article, and it generated a clear and concise summary in seconds. However, I would say, it was 95% accuracy.
??Industry Use Cases
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Text summarization has a wide range of applications across industries, few listed below:
?News Aggregation: Summarize news articles to provide quick updates to readers.
?Legal Documents: Condense lengthy legal documents into more manageable summaries.
?Healthcare: Summarize patient records or medical research papers for quick reference.
?Finance: Generate concise reports from lengthy financial documents or market analyses.
?Education: Summarize textbooks or research papers to help students study more efficiently.
?Customer Support: Automatically summarize customer feedback or support tickets for faster resolution.
?? Text Summarization isn’t just about saving time—it’s about unlocking insights faster and making smarter decisions. From news to legal docs, its impact is game-changing. Have you explored it yet? Let’s decode AI together! ?? #DecodedByDeepak #DeepakOnTech #DecodeWithDeepak
Consultant at Capgemini | ex-Mphasis | BFSI Tech | MBA ITSM | IT Delivery and Production Management | Techno-Functional | Alumni NMIMS | ITIL
1 个月Great insights! AI and NLP are indeed transforming industries. Please Keep sharing your expertise!