Features and Challenges of Natural Language Processing in the Modern Digital World
Features and Challenges of Natural Language Processing in the Modern Digital World

Author(s): Yavor Tabov
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: Natural Language Processing; Natural Language Understanding; Natural Language Generation; Sentiment Analysis; Machine Translation; Question Answering; Text Classification; Speech Recognition
Summary/Abstract: Natural Language Processing (NLP) is a rapidly evolving field focused on enabling computers to understand, interpret, and generate human language. This paper provides an overview of NLP, detailing some of its core features, such as machine translation, sentiment analysis, and speech recognition. It also explores significant challenges faced by NLP, including technical and linguistic difficulties. Finally, conclusions from the study are presented, summarizing the features and challenges of NLP.

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