Which of the following is a common application of NLP?

Sentiment analysis is a common application of Natural Language Processing (NLP) because it involves the use of algorithms to determine the emotional tone behind a series of words. This can be used to understand the sentiment expressed in various forms of text, such as social media posts, customer reviews, or survey responses. NLP techniques enable the extraction of subjective information from the text, helping businesses and organizations gauge public opinion, customer satisfaction, and overall sentiment towards their products or services.

In contrast, data encryption pertains to securing information, primarily from a cybersecurity perspective, and does not involve processing natural language. Image recognition involves identifying objects or features within images, which falls under the domain of computer vision rather than NLP. Web development consists of creating and maintaining websites and applications, primarily focusing on coding and design, rather than the analysis of text or language. Thus, sentiment analysis stands out as a direct application of NLP technologies.