Twitter has 500 million daily tweets and Instagram has 800 million monthly active users, with 90 percent of them being under the age of 35. Reddit’s users post 2.8 million comments every day, while 68 percent of Americans use Facebook.

Every second, a stunning quantity of data is created, making it increasingly difficult to extract meaningful insights from the muck. Is there a way to obtain a sense of it for your speciality in real time? With the rise of voice interfaces and chatbots, NLP is one of the most important technologies of the 4th Industrial Revolution and become a popular area of AI. There’s a fast-growing collection of useful applications derived from the NLP field. They range from simple to complex. Below are a few of them:

1. Search, spell checking, keyword search, finding synonyms, complex questions answering extracting information from websites such as: products, price, dates, locations, people, or names
2. Machine translation (i.e., Google Translate), speech recognition, personal assistants (think about Amazon Alexa, Apple Siri, Facebook M, Google Assistant or Microsoft Cortana)
3. Chatbots/dialogue agents for customer support, controlling devices, ordering goods matching online advertisements, sentiment analysis for marketing or finance/trading
4. Identifying financials risks or fraud