Natural Language Processing
Natural Language Processing (NLP) refers to the subfield of Artificial Intelligence and Linguistics concerned with the interaction between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. By extracting meaning from text or speech, NLP enables a variety of applications such as translation, sentiment analysis, speech recognition, and text generation. It is an interdisciplinary field that combines elements of Computer Science, Linguistics, Psychology, and Statistics. NLP techniques can be applied to various domains, including electronics, computers, and desktop computers, among others. In the context of these terms, NLP can help in areas such as text-to-speech conversion for electronic devices, language recognition for voice assistants on desktop computers, or sentiment analysis for social media posts about certain computer brands. At its core, NLP is focused on understanding and interpreting human language, making it a valuable tool in the era of digital communication and data-driven decision making. By enabling machines to process and understand natural language, NLP can help improve efficiency, automate tasks, and unlock insights from vast amounts of unstructured text data.
External Links
- [NaturalLanguageProcessing.com] Natural Language Processing - all about NLP | Consultancy In AI And Machine Learning
- [CognitiveAI.org] Peter Jansen – natural language processing, cognitive artificial intelligence, and open source sensing
- [kumo.ai] AI Platform - Improve my ML Model Performance, Predictive Graph Based Machine Learning For Marketing, Personalization, Platform, Pipelines, Fashion Retailers, B2C Ecommerce, Natural Language Processing, PYG MLOPS - Kumo
- [Outthought.co] outThought – Conversational Commerce | Natural Language Processing | AI
- [spacy.io] spaCy Industrial-strength Natural Language Processing in Python
- [winlp.org] Widening Natural Language Processing – Promoting diversity in NLP