Creating a Chatbot with Machine Learning in Python (NLTK, TensorFlow, Keras) - Code Armada, LLC

Creating a Chatbot with Machine Learning in Python (NLTK, TensorFlow, Keras) Chatbots are becoming increasingly popular as a way for businesses to engage with their customers and provide personalized customer support. A chatbot is a computer program that uses natural language processing and machine learning to simulate conversation with human users. In this tutorial, we will explore how to create a simple chatbot using Python and machine learning. Step 1: Installing the required libraries The first step is to install the required libraries. We will be using the Natural Language Toolkit (NLTK) library for natural language processing, as well as the TensorFlow and Keras libraries for machine learning. pip install nltk tensorflow keras Step 2: Preprocessing the data The next step is to preprocess the data. We will be using a dataset of movie dialogues for training the chatbot. We will use NLTK to tokenize the text and convert it to lowercase. import nltk import numpy as np import random import string # Download the NLTK data nltk.download('punkt') # Load the data with open('movie_lines.txt', 'r', encoding='iso-8859-1') as file: data = file.read() # Tokenize the data tokens = nltk.word_tokenize(data.lower()) Step 3: Creating training data Next, we need to create the training […]