Natural Language Processing, or NLP, is a field of artificial intelligence that enables computer systems to understand and communicate using human language. It is designed to help machines interpret, analyse and generate natural language in a way that supports meaningful interaction with users.
Systems developed with NLP technologies can communicate with users, respond to requests and answer questions. These technologies typically interact with people through written text or speech. NLP models identify keywords, interpret context and determine relationships between words, sentences and broader sets of information.
Artificial intelligence chatbots such as ChatGPT use natural language processing models to understand user input and generate relevant responses.
NLP is used in a wide range of applications, including text mining, language modelling, text classification, sentiment analysis, speech recognition, text generation, translation and speech synthesis. It analyses textual data, extracts meaning, classifies words and sentences, and identifies semantic relationships. This enables systems to generate responses that are more relevant to the user’s needs.
Natural language processing is widely used in areas such as social media analytics, customer service, automated text summarisation, text-based search systems, intelligent personal assistants and speech recognition. Digital assistants such as Siri, Alexa and Google Assistant, for example, use NLP-based algorithms to understand spoken commands and respond appropriately.
The main applications of NLP include:
Text Classification: Categorising and analysing text according to defined topics, labels or content types.
Speech Recognition and Transcription: Converting spoken language into written text, interpreting voice commands and transcribing conversations.
Machine Translation: Translating text from one language into another. For example, NLP algorithms can translate English text into Turkish.
Sentiment and Tone Analysis: Identifying emotions, opinions and communication styles within text, including formal, informal or conversational language.
Text Summarisation: Condensing long texts into shorter summaries while preserving the most important information.
Automated Question Answering: Understanding questions and generating responses in a natural and contextually appropriate manner.
