In real world
online chat refer to any kind of handheld communication devices over the
internet that offers a real time transmission of text messages, videos, audios
and documents from sender to receiver. Emojis have become an essential part of our expression
while sending a text, or when you chat with your friends, etc. It is the new
messaging trend! Since a lot of people found it as a better way of
communication, Emojis have become a vital one when it comes to Digital marketing
as well. Reasons for why
one should use Emojis in customer services are Emojis help to show empathy, it creates a personalized
communication, reduces negative responses, it helps to connect with millennial,
Emojis are formed by
various combinations of keyboard characters and each emojis have unique
Unicode, the Unicode’s are stored in the database with size 4 byte characters.
Emojis are UTF-8 encoded symbols. Therefore, to save the emoji on the database,
the database column should supports for UTF-8 encoding. UTF-8 is a compromise character encoding that can
be as compact as ASCII (if the file is just plain English text) but can also
contain any Unicode characters (with some increase in file size).UTF stands for
Unicode Transformation Format and ‘8’
means it uses 8-bit blocks to represent a character. The number of block needed
to represent a character varies from 1 to 4.In 21 June 2016 brought the official release of Unicode
Version 9.0, and with it 72 new emoji.
Unicode 10.0 is the version of the
Unicode standard release June 20, 2017.8,518 new characters were included with
this update of which 56 were emoji characters. Many updations are available
now. Unicode 11 is the next version of the Unicode standard; scheduled for
release in June 2018 the images and format may be
updated at any time.
In this work we propose an
analysis to simplify the emoji usage, as in the case when similar and multiple
emoji messages are received into one handheld device. In current system,
find out the string form of each emojis and then change to it in Unicode after
that send to the database. When the
incoming emojis are same the Unicode repeatedly stored into the database and it
needed more storage space. The proposed simple algorithm predominantly focus on the redundancy
evasion of multiple and similar symbols in once device hence increasing the storage in
an intrinsic way.
This algorithm focuses on the repeatedly incoming emojis in different handheld
communication devices and reduces the redundancy. If the incoming message is
matching with the emoji Unicode it will store to the database once and also
store the count of that particular Unicode.