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Helping Pregnant mothers in summarizing an article with the help of text summarization model.
A robust text summarization model that uses Tensorflow to summarize detailed articles into short and crisp summary
- 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
- 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
- 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