1.
CHATBOT TECHNOLOGY
STUDENT: NIHAD ABBASOV
GROUP: 672.7E
TEACHER: ETIBAR RZAZADA
SUBJECT: INTELLECTUALTECHNOLOGY

2.
CONTENT
• Introduction
• What is chatbot?
• How does it respond?
• Background
• Usage areas
• Development
• Why chatbot?
• Application
• Malicious use
• Some awesome chat bots
• Limitations of chatbots

3.
INTRODUCTION
• A chatbot is a software application used to conduct an on-line
chat conversation via text or text-to-speech, in lieu of providing
direct contact with a live human agent.
• Designed to convincingly simulate the way a human would
behave as a conversational partner, chatbot systems typically
require continuous tuning and testing, and many in production
remain unable to adequately converse or pass the industry
standard Turing test.
• The term "ChatterBot" was originally coined by Michael
Mauldin (creator of the first Verbot) in 1994 to describe these
conversational programs

4.
WHAT IS CHATBOT?
• Talkbot, Chatterbot, interactive agent.
• A computer program that can talk to humans in
natural language.
• Uses Artificial Intelligence Markup Language (AIML)
to represent knowledge.
• Can replace a human for monotonous jobs of
answering queries, e.g. E-help desk.

5.
HOW DOES IT
RESPOND?
Looks for certain patterns of words in the
user's input.
Replies with pre-determined output, if
the pattern is matched.
Needs to have an idea of what the user
will chat.
Has suitable responses defined in the
AIML file

6.
NATURAL LANGUAGE
PROCESSING
Natural language processing (NLP) is the ability of a computer
program to understand human speech as it is spoken.
NLP is a component of artificial intelligence .
It makes computer to perform useful tasks with the natural
languages humans use.
Current approaches to NLP are based on machine learning
The input and output of an NLP system can be − Speech,
Written Text

7.
• The Chatbot is an AI-based chat option, by using which companies can now make
their personal chat representative for the messenger to tackle the maximum
affordable queries by means of the customers. A chatbot is nothing but an austere
software program that interprets whatever you say and for that reason respond
through answering or executing the command.
• The famous example of a Chatbot development presently is Apple’s Siri. But Facebook
has taken a sore from these non-public bots by amalgamating two most famous
technologies – instant messaging and artificial intelligence.

8.
BACKGROUND

9.
In 1950, Alan Turing's famous article "Computing Machinery and Intelligence" was published, which
proposed what is now called the Turing test as a criterion of intelligence.
This criterion depends on the ability of a computer program to impersonate a human in a real-
time written conversation with a human judge to the extent that the judge is unable to distinguish
reliably—on the basis of the conversational content alone—between the program and a real
human.
The notoriety of Turing's proposed test stimulated great interest in Joseph Weizenbaum's
program ELIZA, published in 1966, which seemed to be able to fool users into believing that they
were conversing with a real human.

10.
USAGE AREAS
Chatbots are used in dialog systems for various
purposes including customer service, request
routing, or for information gathering.
While some chatbot applications use extensive word-
classification processes, natural language processors,
and sophisticated AI, others simply scan for general
keywords and generate responses using common
phrases obtained from an associated library
or database.
Most chatbots are accessed on-line via website
popups or through virtual assistants.
They can be classified into usage categories that
include: commerce (e-commerce via
chat), education, entertainment, finance, health, news
, and productivity.

11.
DEVELOPMENT

12.
• Among the most notable early chatbots
are ELIZA (1966) and PARRY (1972).
• More recent notable programs
include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence
Nationale de la Recherche and CNRS 2006). While
ELIZA and PARRY were used exclusively to simulate
typed conversation, many chatbots now include other
functional features, such as games and web searching
abilities.

13.
WHY CHATBOT?
• Bots are a lot easier to install than
mobile apps.
• Bots are easily distributed.
• Quality mobile apps are
expensive to build, maintain and
deploy.
• Moving complexity to the cloud
reduces a user’s cognitive load

14.
APPLICATION
• Messaging apps
• As part of company apps and websites
• Chatbot sequences
• Company internal platforms
• Customer Service
• Healthcare
• Politics
• Toys

15.
• Malicious chatbots are frequently used
to fill chat rooms with spam and
advertisements, by mimicking human
behavior and conversations or to entice
people into revealing personal
information, such as bank account
numbers.
• They are commonly found on Yahoo!
Messenger, Windows Live
Messenger, AOL Instant Messenger and
other instant messaging protocols.
There has also been a published report
of a chatbot used in a fake personal ad
on a dating service's website.
MALICIOUS
USE

16.
SOME
AWESOME
CHAT BOTS
• Endurance
• Casper
• Disney examiner
• Marvels freestyle
• Medwhat

17.
GOOGLE HOME
Smart speakers developed by Google.
Voice commands to interact with services through Google's
intelligent personal assistant called Google Assistant.
Integrated support for home automation, letting users control
smart home appliances with their voice.

18.
AMAZON ECHO
The device is capable of voice
interaction, music playback, making to-
do lists, setting alarms, streaming
podcasts, playing audiobooks, and
providing weather, traffic and other
real-time information.
It can also control several smart devices
acting as a home automation
hub. device

19.
RULE-BASED BOTS
No artificial
intelligence
Trained to do one
thing
As smart as it is
programmed to be
Communicates in a
structured manner

20.
LIMITATIONS OF
CHATBOTS
The creation and implementation of chatbots is still a developing area, heavily related to artificial
intelligence and machine learning.
As the database, used for output generation, is fixed and limited, chatbots can fail while dealing with an
unsaved query.
A chatbot's efficiency highly depends on language processing and is limited because of irregularities, such as
accents and mistakes.
Chatbots are unable to deal with multiple questions at the same time and so conversation opportunities are
limited.
Chatbots require a large amount of conversational data to train.
Chatbots have difficulty managing non-linear conversations that must go back and forth on a topic with a user.
As it happens usually with technology-led changes in existing services, some consumers, more often than not
from the old generation, are uncomfortable with chatbots due to their limited understanding, making it
obvious that their requests are being dealt with by machines.

21.
CHATBOTS AND JOBS
Chatbots are increasingly present in businesses and often are used to automate tasks that do not require skill-based talents.
With customer service taking place via messaging apps as well as phone calls, there are growing numbers of use-cases where
chatbot deployment gives organisations a clear return on investment.
A study by Forrester (June 2017) predicts that 25% of today's jobs will most likely be impacted by AI technologies by 2019.

22.
THANK YOU