TOP PYTHON LIBRARIES FOR CHATBOT DEVELOPMENT

A chatbot is an intelligent piece of software that is capable of communicating and performing actions similar to humans. Chatbots are used in customer interaction, marketing on social network sites and instantly messaging the client. In Python with source code, a chatbot can be built by using deep learning techniques. The chatbot will be trained on the dataset that contains categories, patterns and responses. Artificial Intelligence serves as a bridge between machine and human interaction. The demand for this technology is constantly on an upward spiral with organisations increasing across the world. 

Conversational AI market will grow at a compound annual growth rate of 30.2% during the forecast period. Some of the libraries for chatbot development are mentioned below.

spaCy 

spaCy is an open- source library for Natural Language Processing (NLP) in python language. spaCy can be utilized to create information extraction as well as pre-process text for deep learning. Developers can build interactive NLP applications specifically designed for them. It has many features like tokenization which helps in segmenting text into words, sentence boundary detection (SBD) which helps find and segment individual sentences in a text, similarity helps to compare words, text classification helps assign categories or labels to a document, rule-based matching helps in searching of linguistic annotations.

ChatterBot 

Chatterbot is a python library which is designed to make it easy to create software that can be engaged in conversation. Chatterbot uses an algorithm of machine learning to produce different types of responses. This helps create chatbots and automate conversations with users. Chatterbot can be installed by using pip. To install this library using pip run the command of pip in your terminal.

TextBlob 

The library used for processing textual data which is written in Python language is Textblob. This library provides a simple API for working into common NLP tasks, such as noun phrase extraction, sentiment analysis, part of speech tagging and so on. Python versions 2 and 3 are used in this library and it provides access to common text procession operations through a familiar interface. To install this library TextBlob, use the command pip install -U textblob.

PyNLPI

PyNLPI is pronounced as ‘pineapple’ which is a python library for NLP. It preforms basic tasks, such as the extraction of n-grams and frequency lists, and to build a simple language model. It has several packages and modules which are divided and it works on python 2.7 as well as python 3.

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