What does Natural Language Processing primarily focus on?

Natural Language Processing (NLP) primarily focuses on the interaction between computers and humans through natural language. This field of artificial intelligence is concerned with enabling computers to understand, interpret, and respond to human language in a way that is both meaningful and contextually appropriate. NLP encompasses various tasks such as machine translation, sentiment analysis, speech recognition, and chatbot development, all of which require a deep understanding of human language, including syntax, semantics, and pragmatics.

The other options, while important in their respective fields, do not relate directly to the core objectives of NLP. Data storage and analysis pertains to the management and interpretation of data, which is fundamental to data science but not exclusive to language processing. Image recognition and processing focus on visual data, utilizing techniques in computer vision instead of language understanding. Finally, network security measures deal with protecting networks and data from unauthorized access and threats, which falls outside the linguistic domain. Therefore, the best fit for what NLP focuses on is indeed the interaction between computers and humans through natural language.