Rosoka NLP v. spaCy NLP | Rosoka

Posted on 04/6/2021

How to Choose the Right NLP Software

Natural language processing (NLP) allows for the generation of machine-to-human languages. Its adoption for consumers and businesses alike has expanded exponentially in recent years. 

Today, the use of NLP software is improving the work for organizations of all types and sizes, from intelligence organizations and health care companies to product resellers and customer service businesses. 

The question is no longer whether organizations should use NLP, but which NLP software will allow them to better achieve their business goals.

In comparing different NLP software systems, you’ll need to assess features and benefits, as well as ease of implementation and use. You’ll also want to understand what each system offers and what’s missing. 

Here, we dive into two popular solutions: Rosoka NLP and spaCy NLP. Continue reading to learn more about how these systems compare against each other.

Rosoka NLP v. spaCy NLP: What Are the Key Differences?

Rosoka Software is a next-generation, natural language processing software that prides itself on its portability, scalability, and multilingual functionality. Built in Java, Rosoka NLP can function in any environment, from Windows to Linux and internal servers to the Cloud.

spaCy is a natural language processing library that delivers state-of-the-art speed and efficiency. Built in Python, spaCy functions within the macOS/OSX, Windows, and Linux operating systems.

The differences between Rosoka NLP and spaCy NLP don’t stop there. Continue reading to discover more about these two NLP software systems.

Extent of Capabilities

Rosoka’s capabilities represent 100-plus years of effort—people years, mind you—across 230 languages. These capabilities are available to you the moment you begin using Rosoka within your organization.

spaCy capabilities currently measure around 64 languages. It’s also a relatively new software system, meaning it will take decades of people years for their capabilities to catch up to Rosoka’s standards. 

Ability to Tailor the Software

Rosoka NLP can get you 85 percent of the way to your data goals, straight out of the box. What’s more, you don’t need to buy additional software or add-ons to get you all the way to your goal. 

With Rosoka, you can fine-tune the software to fit your particular industry’s use cases. Users in classified intelligence environments—such as those in law enforcement, intelligence, and military environments—find this feature especially beneficial, as they can make changes with ease. 

spaCy, on the other hand, is a programmer’s system that is meant to be added to as you implement it within your organization. While spaCy continues to build out its own software, it relies on your ability to use plug-ins and add-ons to address all of your organization’s needs. 

Entity Types

Rosoka can identify more than three dozen entity types, allowing you to define business goals more accurately. This leads to saving both time and effort, two resources that are in limited supply. 

You’re also able to customize entities within Rosoka. This labels data in a manner that is most relevant to your needs, thereby allowing you to create more accurate training datasets.

spaCy currently has 12 fewer entity types than Rosoka. Fewer types mean greater limitations when it comes to the comprehensiveness of your data labeling and the accuracy of your datasets and algorithms. 

Functionalities

Rosoka was created for optimized functionality to perform in the intelligence space. It’s a system you can get up and running in as little as 10 minutes. It also allows for a great deal of customization to ensure the software works for all involved parties, from data scientists to end-users. 

spaCy was created with speed and programmability in mind. Centered around its API, spaCy offers training to help programmers take its out-of-the-box system and build upon it to make it what it needs to be. 

Training

Onboarding new software can make even the strongest project teams wary. Thankfully, both Rosoka and spaCy offer online, self-paced training modules to assist teams as they implement the new software. 

Additionally, Rosoka NLP provides on-site, custom training for businesses that desire a more hands-on, guided approach.

In Summary

As you can see from the above comparisons of Rosoka NLP and spaCy NLP, Rosoka provides the industry standard in the world of data and natural language processing. Additionally, Rosoka is the NLP software of choice for military, law enforcement, and intelligence personnel and teams, as its already embedded and approved within many of these organizations.

While spaCy offers some nice features, such as its built-in pipelines and production-ready training system, it simply cannot compare to the all-in-one, industry-leading solution that is Rosoka Software.

See Related Post
Rosoka NLP v. Spark NLP

Contact Us to Learn How Our NLP Software Can Help You

As NLP experts, Rosoka has set a high bar when it comes to providing customers with ongoing data and NLP needs. If you’d like to learn more about Rosoka Software and how it can help your organization, give us a call at +1-703-391-0381 or send us a message.

 

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