What are the applications of natural language processing?

Spam Filters: One of the most irritating things about email is spam. Gmail uses natural language processing (NLP) to discern which emails are legitimate and which are spam.

Algorithmic Trading: Algorithmic trading is used for predicting stock market conditions. Using NLP, this technology examines news headlines about companies and stocks and attempts to comprehend their meaning in order to determine if you should buy, sell, or hold certain stocks.

Questions Answering: NLP can be seen in action by using Google Search or Siri Services. A major use of NLP is to make search engines understand the meaning of what we are asking and generate natural language in return to give us the answers.

Summarizing Information: On the internet, there is a lot of information, and a lot of it comes in the form of long documents or articles. NLP is used to decipher the meaning of the data and then provides shorter summaries of the data so that humans can comprehend it more quickly.

Chatbots
Chatbots are a form of artificial intelligence that are programmed to interact with humans in such a way that they sound like humans themselves. Chatbots are created using Natural Language Processing and Machine Learning.

Language Translator-
Google Translate and other translation tools as well as use Sequence to sequence modeling that is a technique in Natural Language Processing. It allows the algorithm to convert a sequence of words from one language to another which is translation.

Sentiment Analysis-
Companies use natural language processing,to understand the general sentiment of the users for their products and services and find out if the sentiment is good, bad, or neutral.