The field of Natural Language Processing (NLP) has been around for a long time, but in recent years, we are witnessing a significant impact on businesses due to substantial advancements. IBM’s Watson technology is a prime example of Natural Language Processing applied to advanced text analysis. 

Natural Language Processing helps machines understand and interpret different languages, deciphering the relationships between words, their meanings, and all the elements that make up a message. While many companies are already benefiting from NLP techniques, it remains largely unknown to others. 

What is Natural Language Processing? 

Natural Language Processing (NLP) is a branch of Artificial Intelligence that enables communication between people and computer systems using natural languages. NLP streamlines and optimizes processes to enhance the user experience, offering more user-friendly and straightforward approaches for interacting with the system. In this regard, IBM’s Watson Natural Language Understanding technology is a valuable ally that helps us analyze texts to extract metadata, such as concepts, entities, keywords, categories, sentiments, emotions, relationships, and semantic roles through natural language comprehension. 

What Are Its Advantages? 

• Powerful Insights: Interacts with a comprehensive suite of advanced text analysis features to extract entities, relationships, keywords, semantic roles, and more. 

• Wide Language Coverage: Interprets texts in thirteen different languages. 

• Domain Personalization: Applies knowledge of sector-specific entities and relationships to your data. 

What Can Be Done with NLP? 

Systems powered by Natural Language Processing are increasingly important in various types of businesses. Here are different examples that help organizations improve their processes: 

• Chatbots: 

Conversational assistants powered by NLP enhance user satisfaction. These virtual agents engage in online conversations with users to answer queries about making a purchase on an eCommerce site, processing complaints, or managing reservations. Thanks to NLP, they can understand messages and respond automatically in real-time. 

• Voice Recognition: 

Voice recognition aims to identify words and phrases spoken by humans and transform them into a format readable by computer systems. This facilitates communication. 

• Text Generation and Summarization: 

One of the most in-demand features of NLP in recent years is the generation of natural texts. This allows for the creation of useful content for a company’s audience using numerical databases, making it easier and friendlier to convey stories. Additionally, NLP can extract the main ideas from a text and produce a coherent summary. 

• Text Translation: 

Its primary function is to translate different types of texts from one language to another, saving time for businesses, enabling them to reach more clients, and providing quicker responses. 

• Autocomplete: 

As a user starts typing a word, the system can finish it, recommend the next words, or even suggest the rest of the sentence or question the user intends to formulate. 

• Information Extraction: 

Processing large document databases to extract key information is a time-consuming task for businesses across different sectors. These processes, which can sometimes be hindered by potential human errors, significantly benefit from adopting NLP technologies. 

• Sentiment Analysis: 

With NLP, we can determine the emotional tone implicit in a phrase. This helps assess whether comments about our service, product, or brand are positive or negative. 

Using NLP systems in your company will help you succeed in the challenges posed by Digital Transformation. Moreover, it will enable you to optimize processes, improve tasks, and reduce execution and response times. By adopting NLP, you can drive and consolidate your business, positioning your company to lead in highly competitive markets. Shall we do this together?