Secured Natural Language Processing for Conversion of Unstructured Text Into Structured Intelligence
Anjana PN, M Narayanamoorthi · 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) · 2021
Natural language processing(NLP) enables the communication between humans and computers with the help of natural language. Most humans try to act immediately in case of an emergency. It will be in the form of a text message or voice message. This paper is mainly focused on such a situation and along with that more security is ensured to the message being sent. This can be developed further to form a private application that is free from vulnerabilities up to a limit. Sentiment analysis is performed on the text message to identify various information contained in the text and its importance. After checking the polarity, Named Entity Recognition(NER) helps in identifying the location of the person which increases the chance of the person being rescued. Messages are encrypted using Fernet(Symmetric Encryption) which is built on top of Advanced Encryption Standard(AES) in Cipher Block Chaining(CBC) mode and is transmitted to the receiver. Once it reaches the receiver, it is decrypted and converted into a text message. After syntax and semantic analysis, the conversion of unstructured data into a structured form is performed. NLP is such a strong process that can detect the presence of sensitive data.