Professional chat application based on natural language processing

Title

Professional chat application based on natural language processing

Creator

Karthick S.; Victor R.J.; Manikandan S.; Goswami B.

Description

There has been an emerging trend of a vast number of chat applications which are present in the recent years to help people to connect with each other across different mediums, like Hike, WhatsApp, Telegram, etc. The proposed network-based android chat application used for chatting purpose with remote clients or users connected to the internet, and it will not let the user send inappropriate messages. This paper proposes the mechanism of creating professional chat application that will not permit the user to send inappropriate or improper messages to the participants by incorporating base level implementation of natural language processing (NLP). Before sending the messages to the user, the typed message evaluated to find any inappropriate terms in the message that may include vulgar words, etc., using natural language processing. The user can build an own dictionary which contains vulgar or irrelevant terms. After pre-processing steps of removal of punctuations, numbers, conversion of text to lower case and NLP concepts of removing stop words, stemming, tokenization, named entity recognition and parts of speech tagging, it gives keywords from the user typed message. These derived keywords compared with the terms in the dictionary to analyze the sentiment of the message. If the context of the message is negative, then the user not permitted to send the message. 2018 IEEE.

Source

2018 IEEE International Conference on Current Trends in Advanced Computing, ICCTAC 2018, pp. 1-4.

Date

2018-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Android Application; Chatting; Dictionary; Named Entity Recognition; Natural Language Processing; Networking; Parts of Speech tagging; Sentimental Analysis; Stemming; Tokenization

Coverage

Karthick S., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Victor R.J., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Manikandan S., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Goswami B., Department of Computer Science, Christ University, Bengaluru, Karnataka, India

Rights

All Open Access; Green Open Access

Relation

ISBN: 978-153864322-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCTAC.2018.8370395

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048873688&doi=10.1109%2fICCTAC.2018.8370395&partnerID=40&md5=b0f24dba55abbc720921258fca01dee0