Machine Learning and NLP for Mobile Apps

SINGAPORE - Dec. 24, 2018 - PRLog -- What is Machine Learning?

Machine Learning is a set of statistical techniques used in text analytics. Its main purpose is recognizing parts of speech, sentiment, and other text aspects.

Machine learning debuted from the computer, but custom mobile app development is also integrating machine learning. Such mobile devices exhibit greater productivity and seem capable of performing tasks similar to traditional computers

Features that Machine Learning brings to Mobile Phone App Development

Personalization

It is challenging to sync mobile application and development with different user preferences. For example, transportation applications deal with both users and drivers or children apps need to convince guardians about the benefits of your application. This can be done through machine learning to offer everyone what they want.

Productive Searching

While searching specific keywords, users expect to find exact information. You have to prove to them you can resolve their issues as you promised. Else, they won't need your application.

Fraud Control

Machine learning during programming mobile applications helps serve relevant ad promotions to your target audience. It also helps you in comprehending the vulnerability or safety of your app to maintain the security of user information.

Visual and Audio Recognition

Neural systems, a unique feature of machine learning, mobile applications enable face recognition and to recognize distinctive words for translation.
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What is Natural Language Processing (NLP)?

Natural Language Processing is the development of computer software to interpret speech and text while natural speaking or typing. Inconsistencies like misspelling, colloquialism, abbreviations make computer analysis difficult.

Applications of NLP in Mobile Apps

Here is a list of standard tasks that are relevant to mobile application and development which are enhanced by natural language processing.

Automatic Summarization

It is important to allocate the target groups' attention efficiently due to overload of information. When a user's information is dispersed across multiple sources, NLP techniques in mobile application and development arrange a summary, like a concise version of the original documents preserving the main message in the best possible way.

Information Extraction

IE identifies occurrences of particular events or relationships in a natural language text and represents the discovered information in a structured manner. These techniques in custom mobile app development (https://www.botreetechnologies.com/) are helpful where users often deal with a lot of textual content.

Content Development

NLP techniques can help in generating new content: Typing or dictating long texts on mobiles is quite tedious. Here, NLP actions like summarization or IE develop part of the content to support users.

Question Answering

QA systems for mobile application design and development have huge potential: For example, an enterprise wanting to develop an app for answering questions on its products or services; or a university giving staff and students an app to answer questions about courses or buildings.

Revolutionize Mobile App Design and Development with Machine Learning and Natural Language Processing

Machine Learning (https://www.botreetechnologies.com/blog/machine-learning-...) and Natural Language Processing have broad applications in custom mobile app development. BoTreeTechnologies has expertise in developing flawless, functional apps across sectors and industries. Contact us today for best mobile app development.