Page 120 - modular4.0
P. 120
Chapter Profile
Artificial Intelligence
Data Natural Language Processing Computer Vision
NATURAL LANGUAGE PROCESSING (NLP)
This is a subfield of AI which helps in
communication between human and
computer using natural language.
It enables a computer to read and
understand data by mimicking human
natural language.
This subfield of AI is used for a variety of
tasks such as email filters. Many people
receive a lot emails which are useless.
NLP checks the sender of the email and
Artificial Intelligence check feature of word processors. NLP also proves to be quite useful in voice-to-text messaging
categorises the mails as spam or junk. NLP also finds its use in the auto-complete and spell-
and virtual assistants.
DATA
Data are the facts and figures which are processed to find meaningful results. Data plays a
pivotal role in the field of AI. Data collection is the process of collecting and sourcing information
from numerous sources. ‘Big Data’ is the term used to represent huge or voluminous data.
Quality of data plays an important role when it comes to AI applications. The data should be
error free and contain relevant information for the given task. The accuracy of results depends
on the quality of the data. Thus, we can say that data is the lifeblood of AI because an AI system
needs to learn from the data that is provided to it. If we provide incorrect data to the system,
we will never get correct results.
Big Data
AI’s ability to work so well with data analytics is
because of its use of Big data. Without making
its presence known, Big data has already been
everywhere. Big data has become a valuable
commodity. It can be defined as massive amount
of stored data which when analysed properly could
reveal valuable insights into industry to which the
data belongs.
118 Modular (Ver. 4.0)-VIII

