Natural Language Processing is a sub-discipline of Artificial Intelligence that equips machines with the capacity to comprehend, interpret and operate human language. NLP involves some computational techniques to analyze and synthesize natural language and human speech for machine recognition. This area of research focuses on improving the interaction between humans and computers through education in applications such as information extraction, moderation, and summarization.
Real-Time Applications of Natural Language Processing
Sentiment analysis
In the context of consumer reviews and social media posts, NLP technologies analyze the sentiment expressed within text data sources. This can provide organizations with insight into customer opinion and uncover opportunities for improvement.
Text classification
Using NLP, text can be classified into categories, such as spam or non-spam emails, news reports, or customer service tickets. This can assist businesses in automating processes and maximizing efficiency.
Entity recognition
An NLP system can identify people, places, and organizations from text inputs. This technology can be applied for several purposes, such as information extraction, recommendation systems, and chatbot development.
Translation
In order to expand businesses’ reach and engage with diverse customers worldwide, NLP facilitates the translation of text data from one language to another.
Speech to Text
Voice assistants and dictation software can use NLP to convert speech to text. Using NLP, humans can ask natural language questions. This is especially beneficial in customer service or any other system where users require prompt and accurate answers.
