Title: Natural Language Processing (NLP)
Author: Kriko
Published: Jun 15, 2023
Last modified: Jul 7, 2026

---

 1.  [Home](https://kriko.io/) /
 2.  [Glossary](https://kriko.io/glossary) /
 3.  N Letter

# Natural Language Processing **(NLP)**

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.

## Discover it in the dictionary

###  WordPress

WordPress is an open-source content management system that was launched in 2003 
and is widely used for building websites. It can be used to…

###  Latent Semantic Indexing (LSI)

Latent Semantic Indexing, commonly abbreviated as LSI, is an older information retrieval
method used to analyse relationships between texts and concepts. In SEO literature,…

###  Feedback

Feedback is an evaluation, comment or report that a user provides to a system, platform,
brand or search engine about an action they have…

###  Readability

Readability refers to how easily a reader can read and understand a text. The readability
of content is affected by many factors, including word…

###  Comparative Analysis

Comparative analysis is a method used to examine two or more objects, processes,
documents, datasets or situations according to defined criteria. Its primary purpose…

###  Cloud Server

A cloud server is a computing service created by virtualising the resources of physical
servers. It provides users with processing power, memory, storage capacity…

###  Dofollow Link

A dofollow link is a common term used in SEO, but technically it is not an official
HTML tag or rel value. When a…

###  Conversion Rate

Conversion Rate, commonly abbreviated as CR, is a performance metric that shows 
the percentage of users who complete a target action on a website,…

###  Relational Database

A relational database is a database model in which information is stored in tables
consisting of rows and columns, with defined relationships between those…

## Track the digital heartbeat  with Kriko

Subscribe to receive curated insights, news, and ideas shaping the digital landscape.

  By checking this box, you acknowledge and accept our [privacy policy](https://kriko.io/privacy-policy).