Ways to Use Natural Language Processing in Mobile Apps

In recent years, the NLP apps and fields that used natural language processing get more advanced. Those sectors include artificial intelligence and machine learning. Many mobile apps are emerging with NLP technology. These innovations in science are awe-inspiring. That considering NLP as the mainstream from few last years.

Anyone’s first interaction with NLP technology is maybe a GPS navigation app. It permits you to do a verbal request direction to your destinations. These navigation apps become more future-oriented in the last few years. Earlier, it asked the exact address of your landing place. Now you can use it with a destination type such as “the closest jewelry shop” or “the nearest school”.

There are several well-known apps with NLP techniques. They are Siri from Apple, google assistant from google, and Cortana from Microsoft. Siri is the first-ever virtual assistant (VA) technology. It founded in 2011 by the DARPA-funded CALO project. In October 2011, it launched an iOS 5 release.

Above all, the NLP technology is not only limited to VA apps. The mobile app developers are using this technique in a new and exciting way. They enhance the reach of mobile devices to disable individuals.

 

Natural Language Processing Applications in the Healthcare and Medical Field

Day by day, NLP is becoming more crucial and shared in the medical and healthcare sphere. There uses in this area are very wide. Indeed, it is constructive when someone talks about the apps for wearable health equipment. It gains more advancement beyond overthinking. It permits you to use verbal input instead of text or typing. Moreover, it turns the worlds focus on the need for hands-free communication. There are few of the many applications of NLP technology in the health industry.

Taking Notes

Note-taking is one of the fantastic applications that emerge from this technique. Generally, it seems that patients struggle to remember all the instructions given by a doctor during the appointment. This NLP mobile app takes notes from the doctor’s speech. It allows the patients to record the tips, medicines names, dosage information, disease name and many more.

 

Support Clinical Decisions

It is more accessible, faster and efficient for physicians. They get the health information when they need it. It enables them to take more appropriate decisions when it needs more.

 

Device Control

NLP technology enables disabled individuals to control mobile devices and other devices too. They are those people who disable in accidents and congenital disabilities.

 

Verbal Form Filling and Input

It is a time-saving app. Physicians and nurses can fill out the health history form during the talk with the patient. They have to do one thing is activating the app. Similarly, a surgeon can also use it to make note form by an NLP app. This kind of mobile application updates family members anxiously waiting for any news about their loved ones.

Exciting Use of NLP in Filtering Spam Emails and Blog Comments

Like the health industry, natural language processing has several real-world applications. Our email boxes are always spammy regardless of the advances in spam filtering algorithms. But this is the time when NLP jumps into the ground with all equipment. Mostly, people get it wrong and think of an app-only talk, but the NLP technology not only hears but also reads.

The reading capability utilized to check spam. The algorithms can read email messages, social media messages, and blog comments. The next step is to identify the spam by comparing the content with the familiar spam messages and texts. This application of NLP is growing fastly in those mobile apps that are facing spam issues.

 

Use of NLP to Operate Information Engine

Some are assuming that google will soon upgrade their technology. The advancement leads to NLP, especially for mobile users. Virtual assistant Siri has trained to answers simple questions. The time is no far away when it will provide detailed solutions to complex questions.

Moreover, there is an immense possibility in NLP to create and get data from stores. Think up an information engine that uses different sources to gather data. These sources include videos, websites, ebooks, verbal user input, and television footage. And then compile this data into a database like Wikipedia with millisecond accuracy. That kind of innovation can change the method we collect, report and use information.

NLP technology also plays a vital role in the area of prediction. It is true in the political and social sectors. It identifies terrorism threats by monitoring online and phone-based chatting. That has remarkable roles in the improvements of existing technology. It refines the language translation apps and mobile apps that have functions of talk to type.

There are many uses and examples of natural language processing in real life. Different mobile development teams doing hard work in Natural Language Processing in Mobile Apps Technology. They are developing new applications of natural language processing. They are not just exploring NLP but also digging in other fields. These regions include artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and predictive analysis in various industries.