Creating a Chatbot with Natural Language Processing in Python

Introduction to NLP

Natural language processing (NLP) is a field of study that deals with the interaction between computers and humans in natural language.

Installing NLTK

You can install NLTK using pip.

pip install nltk

Basic NLP

You can use NLTK to perform basic NLP tasks such as tokenization and stemming.

import nltk
from nltk.tokenize import word_tokenize
text = 'This is a sample text.'
tokens = word_tokenize(text)
print(tokens)

Creating a Chatbot

You can use NLP to create a chatbot that can understand and respond to user input.

import nltk
from nltk.tokenize import word_tokenize
intents = {
    'greeting': ['hello', 'hi', 'hey'],
    'goodbye': ['bye', 'see you later']
}
def chatbot(message):
    tokens = word_tokenize(message)
    for token in tokens:
        if token in intents['greeting']:
            return 'Hello!'
        elif token in intents['goodbye']:
            return 'Goodbye!'
print(chatbot('hello'))