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34C

Text Summarization

Base

Description

Text summarization helps condense lengthy documents into concise summaries while retaining essential information. There are two types of summarization methods: extractive and abstractive. In the extractive method you select key sentences directly from the text while in the abstractive method the model generates a summary using new phrases. Using NLP techniques and deep learning models like BERT or GPT you can build an effective text summarizer.

Chain Deployments (1)

ChainToken IDScoreMetadata
Basebase
#1959034Creal