What is natural language processing?

Natural language processing aims at the identification and understanding of human language by machines. To do so, it combines artificial intelligence, machine learning, and linguistics. NLP is one of the most challenging branches of AI mainly because the human language is full of exceptions and ambiguities.

We use irony and humor and often it is the context that plays a major role in understanding the meaning of the word. Moreover, there are many languages in the world that are subject to different rules and need to be analyzed differently.

Natural language processing technology

Natural language processing services

Natural language processing applications may serve many purposes. Their primary aim is to facilitate company development thanks to process automation and freeing their employees from mundane tasks.

Sentiment and intent analysis

Sentiment analysis allows machines to identify emotions that stand behind the words used, if they are positive, negative, or neutral. It is eagerly adopted by applications of natural language processing that aim at measuring customer response to particular products and services, understanding users and more general trends concerning the brand.

Sentiment analysis will help you prioritize issues that need your immediate reaction, for example in customer service. If a customer's intent is to give negative feedback online, you may react quickly and prevent it from happening. NLP consulting firms will advise you on the use of sentiment analysis in your particular case.

Semantic search

Instead of looking for the literal sense, semantic search based on NLP aims at understanding the intent of the user that is searching for information and the meaning of the results that the system is returning. To do so, the algorithms analyze not only words, but also relationships between words, sentences, and entire documents – and constantly learn to provide better-fitted results.

We use semantic search in our learning management system Samelane to help people get the information they need in a heartbeat but also help to utilize similar algorithms in our client’s systems.

Text analytics

An incredible amount of text data is generated on a daily basis in every organization (documents, contracts, emails, presentations, notes, etc.). With natural language processing algorithms you can perform text mining to transform unstructured and sometimes chaotic documents and databases. In result, you get organized data that can be easily processed and examined further – to draw meaningful conclusions and help in everyday work.

Text categorization

With NLP you can perform text categorization (also referred to as text classification or tagging) instantly and effectively. The main aim of the process is to sort entire documents or pieces of information into organized categories. NLP algorithms can do it precisely and most importantly automatically. Segregated documents allow for better searchability and organization, which without NLP would have to be done manually.

Extracting structured data

NLP applications can help you with everyday and time-consuming tasks in your company. They can read invoices and other similar documents to extract key data from the text. Supported data types include everything that might be crucial to your business, in the case of invoices it will be an invoice number, date, seller, and buyer. Extracted data can be subject to further analysis.

Let’s talk and see if we are a match for your next IT project.
Tomasz Kowalczyk CEO at NeuroSYS
Tomasz Kowalczyk
CEO at NeuroSYS
AI NLP technology

Benefits of natural language processing

Find out what your business can gain with a well-crafted natural language processing application.

Document digitization

Document digitization

NLP applications can take over repetitive tasks that have to be done by either humans or machines. One example is digitization – the process of converting documents into digital format. It applies to all kinds of information: invoices, handwritten notes, reports, and all documents that are kept in paper version only or never had an electronic form.

This way they’re easier to store, access, share, and become easily searchable. Most importantly, your employees don't have to rewrite them and sort them manually anymore.Document digitization

Accurate search

Accurate search

Quick access to information is crucial in a variety of industries. NLP will help you improve search functionality within your products. Instead of focusing solely on keywords, advanced search uses context analysis, pattern recognition, understands a deeper meaning, and can identify whenever a mistake was made unintentionally.

We use natural language processing in our Samelane platform. It allows learners to search for particular topics and get best-fitted results from text documents, photos, video, and audio. This is done not by simple keyword search but foremost by context analysis.

NLP-based products

NLP-based products

With NLP you can build outstanding and innovative products that offer extraordinary value to your customers. Chatbots and voicebots can give more accurate answers and feel more natural, human-like.

Voice systems or personal assistants essentially take advantage of speech recognition and NLP to understand voice commands. Many apps use sentiment analysis to provide their services, such as media monitoring apps, chatbots, and reputation management apps.

Answer pertinent questions

Answer pertinent questions

Your clients don’t want to wait to get answers, and the longer they have to wait, the more irritated they get. Automated question answering systems based on natural language processing can provide round-the-clock service to your customers.

They can get immediate answers to their questions, accurate advice, and quality support, whenever they need it, be it in the middle of the night. It is possible thanks to chatbots and voicebots that understand not only sentences but also customer intent.

Our development process

Our natural language processing services consist of three stages that let our clients minimize the risk and costs of their NLP projects.

1

Problem analysis

Our NLP practitioners define your challenge, conduct a workshop session, and propose a preliminary solution.

2

A feasibility study

We propose a long-term, end-to-end solution and plan.

3

Subprojects

We divide your NLP project into smaller pieces that can be achieved within 1-2 sprints – and develop the first one.

We discuss our approach further in a separate blog post on a similar topic, namely machine learning.

We’re an NLP company with a dedicated NLP consulting department

Our natural language processing specialists face artificial intelligence challenges every day. We’ve delivered multiple natural language processing projects, for our clients and for internal purposes.

Our natural language processing examples include projects from a variety of industries, such as healthcare, education, and manufacturing. Speech recognition, text categorization, and semantic search are their essential components.

We’re ISO 9001 and ISO 27001 compliant, which helps you to minimize the risk.
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