Natural Language Processing in Real Life

Natural Language Processing (NLP) is being used in a wide range of applications, including:

Search engines: to understand and interpret the intent behind search queries, which allows search engines to return more relevant results.
Virtual assistants: NLP enables virtual assistants like Siri, Alexa, and Google Assistant to understand and respond to natural language queries.
Chatbots: to understand and respond to natural language queries used in customer service, e-commerce, and other areas.
Social media monitoring: analyzing and extracting insights from social media data, such as determining the sentiment of tweets or understanding customer feedback.
Text classification: NLP algorithms can automatically classify text into different categories, such as spam detection, news categorization, and sentiment analysis.
Language translation: to translate text from one language to another, which have been used in a wide range of applications, such as website localization, document translation, and chatbot localization
Text-to-speech and Speech-to-text: NLP is very popular in cognitive services, generating speech from text and transcribing speech-to-text. These techniques are widely used in personal assistants, call centers, and other applications.
Named entity recognition: NLP extracts information from unstructured text, such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
Summarization: NLP is used to summarize long documents, articles, and news into shorter versions, used in news aggregators and information retrieval systems.