Helping Pregnant mothers in summarizing an article with the help of text summarization model.

Authored by Ameex Technologies on 04 Sep 2019

A robust text summarization model that uses Tensorflow to summarize detailed articles into short and crisp summary

Problem Statement

  • Client has a lot of nutrition related articles written by Pediatrician which must be summarized and given to the pregnant mother
  • Currently the articles written by Pediatricians are too long for the pregnant mothers to go through and understand
  • The Client wants to have a text summarization model that summarizes the lengthy articles to its shorter version

Our Approach

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  • We developed a text summarization model to summarize articles using Tensor Flow
  • We used seq2seq model with attention mechanism to summarize the articles
  • 2 different solutions were proposed - extractive and abstractive methods of text summarization. Training data was selected as appropriate to the business

Insights

  • Developed robust text summarization model that uses Tensor Flow to summarize detailed articles into short and crisp summary
  • The pregnant mothers are now able to read the gist of the articles and get the most important information and make solid conclusions

Case Studies