NLP, which stands for natural language processing, refers to the field of artificial intelligence dedicated to giving computer systems the ability to understand, interpret, and reproduce human language.

What is NLP?

NLP, or natural language processing, is a technology used to enhance the interaction between humans and computers. It utilizes machine learning to process text-based data, elevating human-machine interaction and also benefiting the processing of big data. Natural language processing manages, analyzes, and interprets complex data in various formats, considering the ambiguities of human language in its operations.

Why is NLP Important?

NLP technology is crucial as it elevates human interaction with machines to a new dimension. Over time, these evolving interaction methods have made it possible to communicate with computer systems using human language.

Translation applications, widely used today, owe their success to natural language processing. NLP understands, interprets, and reproduces the text to be translated using another human language.

Another importance of NLP is its role in processing big data. It can handle and make sense of data volumes that could take years or even be impossible for humans to process. This data includes customer reviews and social media posts, which are closer to conversational language and require sentiment analysis, as well as numerous reports and articles generated by different entities that need to be processed quickly and accurately.

NLP Applications

Natural language processing can be used in various applications prepared for nearly every sector today, including finance, customer services, technology, law, and health. Some of the commonly developed and used solutions involving NLP include:

Customer Services and Chatbots
NLP is frequently used in customer service applications and chatbots. It is utilized to facilitate direct interaction between customers and artificial intelligence.

Marketing Efforts

NLP is also often used in marketing efforts. It can be employed to define the target audience, evaluate marketing activities, and assess customer opinions about brands and products, especially on social media platforms.

Spelling Control and Translation

NLP can be used to check for grammatical rules in texts, preventing errors that might be overlooked by humans. It is also utilized in translation applications to achieve more accurate and natural translations.

Summary Generation

Natural language processing is used to extract summaries from large and numerous text data sets. For example, it can summarize articles written on a topic or news texts. Another example is processing user reviews on e-commerce sites to create a general evaluation of a product.

Unwanted Mail Filter

NLP can automatically scan and evaluate mail content. Traditional filtering systems based on criteria like email addresses may not always make accurate assessments. In this context, NLP can determine whether an email is spam based on its content.