Natural Language Processing
Natural Language Processing
Words and texts are the primary means of human communication. Natural Language is the language used by people to communicate with one another. Humans communicate with one another using variety of languages through speech and written language.
The data generated through Natural language contain a lot of useful data and can provide insightful information. Hence we need computers to be able to understand, emulate and respond intelligently to human speech. Natural Language Processing or NLP refers to the branch of Artificial Intelligence that gives the machines the ability to read, understand and derive meaning from human languages. Data in the human language is analysed and modelled using computational methods and algorithms.
NLP has several uses in many different domains such as:-
Chatbots and Virtual Assistants: Natural language processing (NLP) is used to create intelligent chatbots and virtual assistants that can communicate with people in a natural way. Customers can get answers to their questions from them, receive tailored advice, and experience better customer service.
Information Extraction: Using Natural Language Processing, pertinent information may be automatically extracted from unstructured data sources including emails, social media posts, and web pages.
Language Generation: Text in natural languages can be produced using NLP. This is helpful for producing individualised information, like news stories or product recommendations.
Sentiment Analysis: Natural Language Processing may be used to analyse the sentiment of a text using sentiment analysis. This can be applied to comprehend client feedback and opinions, keep track of a brand’s reputation, and make data-driven choices.
Machine Translation: Text can be translated automatically from one language into another using Natural Language Processing. This helps to eliminate linguistic barriers, open up communication across boundaries, and advance globalisation.
Text Summarization: Natural Language Processing can be used to condense enormous amounts of text into a brief summary for text summarization. This is helpful for swiftly grasping the major ideas of a piece of writing or document.
Speech Recognition: Natural Language Processing can be used for speech recognition, which turns spoken language into text. For developing voice-based apps, such as virtual assistants or voice-controlled gadgets, this is helpful.
Named Entity Recognition: Named Entity Recognition: NLP can be used to recognise and extract crucial information from a piece of text, such as names, dates, and locations. Information retrieval and knowledge management can benefit from this.
Targeted Advertising: Have you ever discussed a good or service, or just googled something, and then started getting advertising for it? This practise of reaching specific populations at precisely the correct time is known as targeted advertising, and it helps vendors produce huge amounts of income.
Autocorrect: Autocorrect automatically corrects spelling mistakes while writing, apart from this grammar checkers also come into the picture which helps to write without grammatical errors.
In general, Natural Language Processing has many uses and is growing more significant in today’s data-driven society.
Manisha Prasad
manisha.bca@patnawomenscollege.in
