| Autor: |
Anand, K., Anand, M. Vijay, Saravanan, R. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2523 Issue 1, p1-6, 6p |
| Abstrakt: |
Email plays an essential role in communication and its flexibility, simplicity, diversified types, and low cost of information in the modern world. Therefore handling out a large volume of emails takes are mark able amount of human power and time. To quickly extract the named entities from an email requires an automated solution. So we proposed a tool to extract named entities from emails. This solution incorporates the latest technologies like NLP (Natural Language Processing) and IR (Information Retrieval). This would perform named entities extraction of email automatically organizes and notifies the user. The proposed mechanism can be used in many organizations. Named Entity Recognition (NER) will be a vital language processing tool for information retrieval from texts like newspapers, blogs, and emails. NER performs the classification of words and sensing the expression of text from unstructured data. Spa Cy may be a free, open-source python library for advanced language Processing. It is well known for production use and helps build the system that performs understanding of a text. It helps in information extraction, understanding the plans, and preprocesses the text for deep learning. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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