The ability to communicate and interact using language is a remarkable skill. It distinguishes humans from other species and machines. Even the most advanced systems and technologies need specific, defined commands to take action. But what would happen if an application could interpret our language and, importantly, recognize the context of our speech? This is […]
The ability to communicate and interact using language is a remarkable skill. It distinguishes humans from other species and machines. Even the most advanced systems and technologies need specific, defined commands to take action. But what would happen if an application could interpret our language and, importantly, recognize the context of our speech? This is where NLP, or natural language processing, helps us.
What is Natural Language Processing?
The development of new technologies – artificial intelligence and machine learning – has meant that machines can analyse and process the vast amounts of data provided in a short space of time. Some artificial intelligence technologies even help systems learn on their own and ‘think’ in a way similar to the human brain. To some extent, applications such as Siri and smartphone text autocorrect have this ability. All these solutions use Natural Language Processing technology.
Natural language processing or NLP is a branch of artificial intelligence that combines interactions between a computer and human (natural) language. Natural language processing uses machine learning to read, decipher and understand human languages in useful ways, making it possible, for example, for a computer to automate, translate or generate natural language-like text.
Natural Language Processing in Mobile App
Natural language processing is a technology that helps make mobile applications smarter by automatically analysing the meaning of content and taking appropriate action on behalf of mobile users. It is successfully used in GPS navigation applications, which allow to verbally ask for directions to a destination by chatbots or Google Assistant. Thanks to this information mechanism have significantly accelerated, and users of various types of applications can easily search for the data they need practically 24/7. This is not only a significant improvement for people but also companies. NLP helps to improve customer service by responding to queries quickly. The customer service department is only involved after the virtual assistants have made an initial selection of the request.
Increasingly, NLP technology is also being used in the development of mobile health applications. In which areas? For example, for taking notes on doctors’ e-counselling, recording data on treatments performed in real-time, or disabled people to control their devices.
NLP in Mobile development can also analyse social media to verify trends or sentiment. The possibility of exploring the statements themselves and their context gives a vast field of use – by companies that want to learn about their products’ opinions and politicians during election campaigns.
NLP is also practical where exact search results are needed. This applies, for example, to mobile applications dedicated to e-commerce, where the search engine should show the best possible answers tailored to the consumer’s queries.
Natural language processing is also excellent support for machine translation in mobile applications. This makes automatic translations more understandable and similar to those done by humans. With the use of NLP in Mobile development, barriers to international communication decrease, and companies can easily attract foreign customers.
NLP in mobile app development – think big!
In summary, NLP technology in Mobile App development humanises the possibilities of interaction between brands and end-users. Combined with the ever-growing demand for apps and the increasing penetration of smartphones on the global market, the further trends in NLP in Mobile apps are clear. Over the past ten years, smartphones have evolved from business people to personal assistants and are used almost universally. This is undoubtedly a big plus, as mobile devices’ popularity leads software developers to create new applications and extend their capabilities. Over the past few years, large companies such as Amazon, Facebook, or Google have thrived on researching artificial intelligence and incorporating it into their products. Applications are being developed and produced to understand and interpret human speech and perform specific actions based on voice commands.
At Zaven, our AI and NLP experts are very familiar with new technologies and their possibilities. So, if you have an idea where implementing Natural Language Processing in Mobile App seems to be a challenge, or you need technical assistance, schedule a free consultation!
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