Discover the applications of one of the most important branches of artificial intelligence, the one designed to facilitate human-computer communication through human language: natural language processing.
What is Natural Language Processing?
Natural Language Processing (NLP) is a field of knowledge that combines computer science technologies with applied linguistics and basically aims to enable a machine to understand what a person expresses through the use of a natural language, whatever the person’s native language may be (Spanish, English, German, Chinese, etc.).
What Is Natural Language Processing Used For?
- Information extraction
- Answers to questions
- Machine translation
- Speech synthesis
- Information retrieval
- Language comprehension
- Speech recognition
- Natural language generation
Information Extraction
Information extraction is a type of information retrieval whose objective is to automatically extract structured (or semi-structured) information from computer-readable documents.
Question Answering
Question answering is a complex information retrieval task that requires a machine to retrieve answers to questions posed in natural language. These answer search engines attempt to recognise a wide range of question types, including “how”, “when”, “where”, “why”, facts, lists, definitions, and more.
Machine Translation
Machine translation is an area of computational linguistics that investigates the use of systems capable of translating text or speech from one natural language to another.
Speech Synthesis
Speech synthesis, or voice synthesis, is the creation of artificial speech. Speech synthesizers, which are the systems used for this purpose, can be used in both software and hardware products.
Information Search and Retrieval
Information Search and Retrieval (ISR) is the field of computer science that deals with the processing of documents containing free text, in electronic documents and any type of digital document collection, so that they can be quickly retrieved based on the keywords specified in a query by a user.
Language Comprehension
Language comprehension is the field of science that studies how humans use symbols to express ideas and feelings and how our brains process and understand that communication. The goal is for a machine to read a message, interpret it, and identify its meaning, context, and intent.
Speech Recognition
Speech recognition is a branch of artificial intelligence that studies how to enable communication between people and machines. These voice recognition systems aim to process the human voice signal and recognise the information it contains in order to convert it into text or execute commands that act on a process.
Natural Language Generation (NLG)
We refer to Natural Language Generation (NLG) as the process of creating text in natural language for communication with specific purposes. Artificial intelligence enables the production of written or spoken narratives from a set of data.
Benefits of Natural Language Processing in Business
Applying Natural Language Processing (NLP) techniques to business processes is a powerful business enhancer. Below are some of the benefits you’ll find when you incorporate NLP techniques into your company.
Streamline and Automate Work
Within a company, we find repetitive and unpleasant tasks that consume a significant amount of time and resources. Thanks to natural language processing, we can streamline and automate some of these processes to help increase productivity.
Sentiment Analysis
Sentiment analysis using NLP techniques is perhaps the most popular technique in these applications. Thanks to natural language processing, we can analyse on a large scale how we are communicating with our audience, understand the status of a particular campaign, or evaluate competitors.
Implementing Natural Language Processing (NLP) to track comments about your brand on social media or digital media will help you find the information you truly need to make informed decisions. You’ll discover positive and negative comments, receive alerts to detect and/or prevent problems, identify the users who talk about your brand most (influencers and detractors), and evaluate market satisfaction with your campaigns, promotions, and products.
Automatic Translation From Your Language to the Recipient’s Language
Machine translation techniques are those that are carried out without human intervention.
Thanks to natural language processing, it is possible to reduce language barriers and facilitate communication between sender and receiver.
Machine translation will bring greater productivity and flexibility to all types of projects within your company.
Chatbots and Conversational Systems
Natural language processing (NLP) is what allows chatbots to understand messages and respond appropriately. NLP helps provide context and meaning to user input so the chatbot can understand and provide the best response.
Extracting the Truly Important Content
Companies are forced to process a large number of documents daily to retrieve information that is truly necessary and that genuinely adds value to the business. Natural language processing accelerates these tasks, making us more efficient.
From lawyers to human resources, the benefits of streamlining these types of processes with NLP can be used by virtually every department in a company, allowing professionals to focus their work on tasks that truly add value.
If you’re looking to improve your company’s processes and don’t want to fall behind your competitors, don’t wait any longer to integrate NLP techniques into your business.
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