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4 Benefits of Natural Language Processing for Enterprise Mobile Apps

Read Time: 3 minutes

Natural language processing (NLP) is one of the most exciting technologies available today.  The technology can parse human language in order to identify patterns or extract the most important data from messages or emails.

Developers are implementing NLP technology into enterprise mobile applications to boost productivity, find social sentiment trends in social media sites and extract the most important information from large datasets. Such an app can be tailored to meet the exact needs of a company and its employees. Here are four of the biggest benefits that natural language processing offers enterprise mobile apps.

Improving Productivity With NLP Applications

Equipping an app with natural language processing boosts your workers’ productivity by giving them tools that make their jobs easier. By leveraging NLP, developers can help employees quickly find answers to commonly asked questions. This can be accomplished through chatbots or virtual assistants that can help employees find what they’re looking for in seconds. A mobile app with a chatbot can help an employee figure out how many vacation days they have left, the company’s financial figures for the most recent quarter or the state of their 401(k).

Natural language processing can also help HR teams find the most qualified candidates by pulling relevant data from applicants’ resumes and cover letters. This helps the HR department identify qualified candidates quicker and more efficiently. An app equipped with NLP can even connect to your email account and use spam detection features to ward off unwanted emails.

NLP Apps Are Creating More Efficient Meetings

It’s no secret that company meetings can sometimes be inefficient. After all, meetings require many documents, from agendas and notes to reports and action plans. Such documents often fill up inboxes, overwhelming employees and superiors alike.

However, natural language processing tools are capable of parsing large swathes of complex data and highlighting the essentials for a given meeting. An app can be programmed to extract the most important pieces of information from all these documents depending on the meeting’s focus. This ensures that everyone is on the same page without bogging anyone down with unnecessary information.

NLP can also help employees understand and assign the actions discussed during meetings. The technology extracts the most valuable information from meetings and emails, then it automates the process of sending this information to employees. This streamlines the process of ensuring everyone understands their responsibilities while also tracking activities and deadlines.

Bolstering the Process of Taking Notes

An app equipped with NLP can be programmed to include transcription tools, automatically taking notes for a meeting and trimming the conversation down to the essentials. The app can then share the notes with everyone, thereby optimizing the process of taking and sharing minutes.

This means that businesses can easily send an entire transcription of an important meeting or phone conversation to clients or to an entire team. Developers can also program your app to identify the most important pieces of information from a transcription based on what you’re hoping to achieve with a particular project. In this case, NLP technology improves productivity and efficiency by automating a tedious task.

Sentiment and Trend Analysis

A valuable application of natural language processing in the business world is its ability to identify, dissect and analyze social media trends and sentiments regarding a product, service or brand. For instance, an app can include an NLP algorithm that extracts insights from social media users’ text and emoticons or emojis.

The technology can pull the essentials of what people are saying about your company and its products or services, helping your team understand customer attitudes and opinions. Knowing what people think of your company can go a long way towards helping you determine your next product, service or marketing strategy.

The Benefits of Natural Language Processing Enterprise Apps

All in all, natural language processing allows businesses to streamline daily processes and quickly identify valuable data, making it a perfect fit for an enterprise application.  From gathering insights that will help refine your company’s strategy to automating the note-taking process during meetings, an app equipped with NLP can help a business run more smoothly from top to bottom.

If you’re seeking to develop an app that uses natural language processing technology, you will need to work with a skilled developer. The team at 7T is well-versed in both natural language processing and enterprise mobile development. We work to craft custom applications that meet a company’s unique needs. Also, we provide services related to technologies such as augmented reality, virtual reality, artificial intelligence, blockchain and predictive analytics.

7T is headquartered in Dallas. However, we also serve clients in Austin, Houston, and across the nation. If you’re ready to discuss your project, please contact us today.

Reach out to our team today!

Shane Long

As COO and President of 7T, Shane Long brings experience in mobility that pre-dates the term “smartphone” and the release of the first iPhone. His work has helped revolutionize the growth of mobility by bringing to market one of the first graphics processors used in mobile phones, technology that after being acquired by Qualcomm lived well into the 4th generation of smartphones, as well as helped pioneer the first GPS implementations in the segment. With a strong engineering and business background, Shane understands how the rise of mobility and Predictive Analytics is crucial to greater business strategies geared toward attaining competitive advantage, accelerating revenue, and realizing new efficiencies. As the leader of a B2B mobility solutions provider, he partners with business leaders including marketers and product developers to leverage enterprise mobile applications, big data and analytics, and mobile strategy.

Shane earned a B.S. at Texas A&M (whoop!) and studied mathematics as a graduate student at Southern Methodist University.


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