Natural Language Processing Services

We build turnkey AI models that help businesses use textual data to make smarter decisions more quickly.
SOLUTIONS

NEUROSYS Natural Language Processing services

Natural language understanding

While it is easy for us to read a sentence or a paragraph and figure out whether it’s about ordering pizza.

Summarization

It takes a lot of effort to determine what a text document is truly about, even when it is well-organized and searchable.

Sentiment analysis

Languages are very nuanced, so while some of the information is factual, like a judgement that the restaurant’s food was bad.

Speech recognition

When communicating information, people typically speak rather than write. This is especially true for certain forms of communication.

Speech synthesis

Speech recognition allows a machine to understand human speech, but speech synthesis is what is needed to help the machine respond in kind.

Speaker identification

Knowing who is speaking is often as crucial as understanding their message. This can be very useful for meeting memos, automatic subtitling.

Emotion detection

Emotions can be determined from audio in a similar fashion to sentiment analysis in text.

NEUROSYS in numbers

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Natural Language Processing Services

Stop Processing Speech or Text Manually

One of the key benefits provided by machine learning is the ability to process unstructured data, such as speech and text, to extract facts and ideas without relying on inaccurate keyword searches or laborious audio recording processing. At NEUROSYS, we provide our clients with custom AI and machine learning solutions to help them unlock the value of their data, automate routine tasks, and make data-driven decisions.

Create a data flywheel

“We turned to NEUROSYS to create a data flywheel using NLP. In our case, the more contracts the Avokaado platform processes, the more automatic the process of drafting and structuring contracts becomes.”

How we work?

  • Mapping the problem

    Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.

  • Data exploration and proof of concept

    We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.

  • Proposal for deliverables

    Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.

  • Model development

    We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal.

  • Application deployment

    We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.

  • Maintenance

    Any system might require time to time maintenance, and we are happy to support our customers with that.

Build your first Dynamic AI Natural Language Processing in just a few clicks!

Frequently Asked Questions

Does NLP make computers understand language?
It depends on what “understanding” implies, so it’s a tricky question, but the overall response would be no, not really. NLP techniques solve specific problems, such as classifying text into predetermined categories, or converting text into sound or vice versa, but this does not mean that computers actually understand the language itself.
Who works on NLP problems?
Typically, data scientists, machine learning engineers, or both, are involved. NLP is a rapidly developing field where cutting-edge tools are continually being created. This means that using these new tools and techniques frequently necessitates a solid understanding of both data science and the application of these models to specific problems.
How language dependent is NLP?
This depends on the problem being solved and the data that NLP is applied to. If the problem is fairly simple and the data is text, language-agnostic methods can be used, and there is no language dependency. For more complex problems, there is some dependency even when working with text, because pre-trained models are necessary, but there are resources available for the majority of languages. Audio is particularly complicated because there aren’t many resources to fall back on, and the language dependency is the strongest.
Do you guarantee the success of the project?
During the project evaluation, we provide a feasibility assessment and, for problems in which we have experience, we can provide a more precise prediction and discuss the forecasted minimum level of performance.
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Rewards & recognitions

NEUROSYS has been recognized by the leading analytics agencies working with the best software development companies from all over the world. Our values and partners help us to provide the best software development services for startups in the field.
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