Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that enables computers to understand, interpret, and generate human language. It bridges the gap between human communication and machine comprehension, allowing for more natural interactions with technology. NLP handles tasks like language translation, sentiment analysis, speech recognition, and text summarization. By analyzing the structure and meaning of language, it helps machines make sense of everything from casual conversation to complex documents.
Natural Language Processing (NLP) Defined
How to Use it in a Sentence
Natural Language Processing can help you personalize push notifications by analyzing customer behavior and message sentiment.
NLP is a subfield of artificial intelligence that focuses specifically on understanding and generating human language. It often uses machine learning models to improve language tasks like sentiment analysis, keyword detection, and conversational understanding.
NLP can help you analyze the tone, intent, and sentiment of user interactions—allowing you to personalize messages, automate responses, and segment audiences more intelligently based on how they communicate.
Yes! By detecting negative sentiment or identifying at-risk users through their messages or behaviors, you can trigger proactive engagement—like targeted push notifications or follow-ups—to win them back.
Definitely. NLP can scan through large volumes of user reviews, support tickets, or survey responses to detect patterns, frequently mentioned topics, and overall sentiment—giving you actionable insights without manually reading every message.
NLP can analyze the language and behavior of email recipients to optimize subject lines, content, and send times. This leads to improved open rates, click-through rates, and overall effectiveness of email marketing campaigns.