Build a simple Chatbot using NLTK
Build a
simple Chatbot using NLTK
This article was published as a part of the Data Science
A chatbot is an AI-based software that comes under the
application of NLP which deals with users to handle their specific queries
without Human interference.
Brief Intro on
Chatbot
A chatbot is a smart application that reduces human work and
helps an organization to solve basic queries of the customer. Today most of the
companies, business from different sector makes use of chatbot in a different
way to reply their customer as fast as possible. chatbots also help in
increasing traffic of site which is top reason of business to use chatbots.
Implementing
Chatbot using Python NLTK Library
NLTK stands for Natural language toolkit used to deal with
NLP applications and chatbot is one among them. Now we will advance our
Rule-based chatbots using the NLTK library. Please install the NLTK library
first before working using the pip command.
pip instal
nltk
Code:
import nltk
from nltk.chat.util import Chat, reflections
reflections = {
"i am" : "you are",
"i was" : "you were",
"i" : "you",
"i'm" : "you are",
"i'd" : "you would",
"i've" : "you have",
"i'll" : "you will",
"my" : "your",
"you are" : "I am",
"you were" : "I was",
"you've" : "I have",
"you'll" : "I will",
"your" : "my",
"yours" : "mine",
"you" : "me",
"me" : "you"
}
pairs = [
[
r"my name is (.*)",
["Hello %1, How are you today ?",]
],
[
r"hi|hey|hello",
["Hello", "Hey there",]
],
[
r"what is your name ?",
["I am a bot created by mallesh telugu world. you can call me crazy!",]
],
[
r"how are you ?",
["I'm doing goodnHow about You ?",]
],
[
r"sorry (.*)",
["Its alright","Its OK, never mind",]
],
[
r"I am fine",
["Great to hear that, How can I help you?",]
],
[
r"i'm (.*) doing good",
["Nice to hear that","How can I help you?:)",]
],
[
r"(.*) age?",
["I'm a computer program dudenSeriously you are asking me this?",]
],
[
r"what (.*) want ?",
["Make me an offer I can't refuse",]
],
[
r"(.*) created ?",
["Raghav created me using Python's NLTK library ","top secret ;)",]
],
[
r"(.*) (location|city) ?",
['Indore, Madhya Pradesh',]
],
[
r"how is weather in (.*)?",
["Weather in %1 is awesome like always","Too hot man here in %1","Too cold man here in %1","Never even heard about %1"]
],
[
r"i work in (.*)?",
["%1 is an Amazing company, I have heard about it. But they are in huge loss these days.",]
],
[
r"(.*)raining in (.*)",
["No rain since last week here in %2","Damn its raining too much here in %2"]
],
[
r"how (.*) health(.*)",
["I'm a computer program, so I'm always healthy ",]
],
[
r"(.*) (sports|game) ?",
["I'm a very big fan of Football",]
],
[
r"who (.*) sportsperson ?",
["Messy","Ronaldo","Roony"]
],
[
r"who (.*) (moviestar|actor)?",
["Brad Pitt"]
],
[
r"i am looking for online guides and courses to learn data science, can you suggest?",
["Crazy_Tech has many great articles with each step explanation along with code, you can explore"]
],
[
r"quit",
["BBye take care. See you soon :) ","It was nice talking to you. See you soon :)"]
],
]
def chat():
print("Hi! I am a chatbot created by mallesh telugu world for your service")
chat = Chat(pairs, reflections)
chat.converse()
#initiate the conversation
if __name__ == "__main__":
chat()
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