Natural Language Processing (NLP) consists of developing applications and services capable of understanding human languages. Some practical examples of NLP are speech recognition, for example, Google voice search, understanding content or analyzing feelings, etc. In this article, I will take you through some very useful NLP Projects for Machine Learning.
NLP for Other Languages
Natural Language Processing (NLP) is a great task in Machine Learning to work with languages. However, you must have seen everyone working with only in the English language while working on a task of NLP. So what about other languages that we have. Here you will learn how to implement NLP for other Languages with Machine Learning. See More.
Named Entity Recognition (NER)
Named Entity means anything that is a real-world object such as a person, a place, any organisation, any product which has a name. For example – “My name is Aman, and I and a Machine Learning Trainer”. In this sentence, the name “Aman”, the field or subject “Machine Learning” and the profession “Trainer” are named entities. In Machine Learning Named Entity Recognition (NER) is a task of Natural Language Processing to identify the named entities in a certain piece of text. See Full Project.
Translate Using Python
Have you ever tried to translate any text using google, it’s straightforward and helpful to do so when I used to study the German Language google helped me a lot in my homework. Do you know how Google does that? Google developers have created an API that does it all. Now, what if you want to translate using Python? Python being a straightforward and general-purpose programming language provides packages for almost every task. See How to translate languages using python.
WhatsApp Group Chat Analysis
So I am a part of a WhatsApp group named as “Data Science Community”, recently I thought to explore the chat of this group and do some analysis on it. If you don’t know how to extract the messages from any chat then just open any chat click on the 3 dots above, select more and then select explore chat, and share it with any means, most preferable your email. See how to analyse WhatsApp chats with NLP.
Build a Chatbot with NLP
Python provides a very useful library known as NLTK which can be used in building a chatbot application with python. A Chatbot is a computer program which is programmed to interact with a human. A chatbot is designed to reply to a human user based on their queries and conversations. If you think chatbots are a new technology, you’re wrong. The first chatbot, Eliza, was built in 1966 at MIT’s Artificial Intelligence Laboratory by Joseph Weizenbaum to mimic human conversations. Learn how to create a chatbot with NLP.
I hope you liked this article on NLP projects for Machine Learning. All the above NLP projects are explained with the implementation of Python. Feel free to ask your valuable questions in the comments section below.