Email Parser bridges parse the emails you receive and export its contents to Excel files, Google Sheets and databases. It can parse email text from the email itself or from the attachments. The configuration is fast and easy thanks to the different parsing methods and the wide range of examples available.
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In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results. To read full article visit:... Source: 8 months ago
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