We are living in an era where everything is under the digital influence, and so is the decision-making process. It is changing rapidly, especially in the human resource field.

Earlier, it was guided by our intuition and instinct, but now, modern-day human resource specialists use data and algorithms to drive business solutions and help them to achieve more objective and strategic decision-making power!

In today’s data-driven world, the adoption of Artificial Intelligence (AI), machine learning (ML), and Natural Processing Language (NLP) is pretty common. However, the role of NLP in HR is still new.

But before exploring the advantages of NLP in HR, let’s know what it is and how HRs leverage it.

What is Natural Language Processing (NLP)?

Natural language processing (NLP) strives to build machines that understand and respond to text or voice data and respond with text or speech of their own—in a much similar way as human beings.

NLP combines computational linguistics and rule-based human language modeling with statistical, machine learning, and deep learning models. These technologies process the human language in text or voice data and easily ‘understand’ its whole meaning with the speaker or writer’s intent and sentiment.

How Do NLP Insights Impact the Field of HR?

NLP algorithms analyze more language-based data than humans in a more consistent and natural way — so HRs can get more advantage of it in recruitment processes.

The amount of text data at organizations is increasing rapidly—and the HR department is responsible for gathering resources and analyzing data to make better company decisions quickly.

NLP uses text analytics to provide advanced and instant insights on employee sentiment, identify conflict areas, and perform comprehensive feedback and survey analysis.

Depending on these insights, you can measure and implement a great employee engagement strategy to solve work-related issues and drive engagement.

The Role of NLP in Human Resource

Although initially, NLP seems simple when considered in an auto-correct, auto-complete, or spell-checking capacity, as a technology, besides this, it has immense potential for future implementations in HR and beyond.

NLP is an excellent tool for HRs to analyze their employees’ social media content. For example, you can uncover their interest areas, identify their talents and competence, and, most importantly, track their behavior trends.

Insights regarding HR tech trends for 2022 named NLP as an innovative factor with prominent growth and undeniable effect.

Recruitment processes are often lengthy and can become repetitive, but NLP is here to rescue— simplifying each hiring process step.

NLP understands the big and unstructured data — It delivers the optimal insights and matches through a detailed and automated analysis for screening applicants.

For instance, If we submit a job description as the search request, NLP can return a selected list of the best-qualified candidates from a database based on the resumes’ language. In addition, you can set the criteria for an ideal candidate, such as experience, education or skills, etc.

Undeniably, the role of NLP in HR is tremendous, streamlining all the processes and functions — making the life of an HR stress-free.

Let’s have a deeper look at the critical applications of NLP in HR:

Applications of Natural Language Processing in HR

Generally, every organization wants the ideal candidate for them. Though HR teams are looking for top talent to find such talent, it requires a lot of time and effort.

Thanks to NLP, it saves your precious time in analyzing inbound CVs and screening candidates. Besides saving time, NLP can help remove subconscious bias and increase diversity in candidates.

Another amazing thing about NLP is that organizations can use it to create matching algorithms that automatically recommend jobs for candidates.

However, a candidate’s good experience during the hiring process indicates how much the company values the candidate. Also, in this way, it’s pretty easy to win over potential candidates.

A more data-driven approach to resume screening through NLP allows the HRs to get the best-fit candidate for their organization. Furthermore, it also assists in categorizing the candidate’s profiles, skill set, and experience.

NLP-supported automated interviews have empowered HRs to the level where they can easily pick up on any blind spots or human behavior.

Companies can use these tools to improve the candidate’s fit in the company by analyzing their words, speech patterns, and facial expressions. Furthermore, help detect minor details that can otherwise be missed easily.

Onboarding, a crucial step in employee recruitment — that’s when new hires make their first impressions of the organization they’re joining and will be familiar with its culture.

Long-term employee retention starts here, so it’s important that the new hires feel comfortable and go through smooth onboarding processes to feel confident in their work later.

Thankfully, the progress of artificial intelligence (AI) and NLP technology can make the whole process seamless and better than ever.

Here’s how NLP can help with employee onboarding:

Chatbots

Chatbots are like little helpers for new hires.

These chatbots provide a smooth experience to the new employees by responding to their queries naturally. Furthermore, they perform various functions such as collecting data, providing information, setting up employee accounts, etc.

Analysis and Feedback Collection

Feedback from new hires is valuable for any organization and an essential part of the effective onboarding process. Employees can be asked about their opinion of the working culture and what improvements can be made.

Natural language processing can serve great for customer support agents for analyzing the customer response. This constructive feedback helps businesses to improve their input.

Speech Tools

NLP-based speech tools are used to understand the intent of the spoken text, tone of voice, and concurrently used words. Improvement in speaking style helps individuals in becoming better future leaders.

NLP techniques can transform training content into skills. This transformation provides significant advantages to training officers, including:

• Identifying the needs of learners in a better way
• Ability to analyze their offers for better optimization

Adapted training content based on NLP

Training organizations can offer NLP-based training content to employees and companies that truly adapt to their needs and increase their learning experience.

In such a case, when relevant content is translated into skills, it is much more convenient to match them with learners’ needs; whether upskilling or reskilling, relevant content can significantly improve your skills.

“Employee engagement and culture issues break out the scene, rising to become the number one challenge companies face worldwide.” (survey report — Deloitte’s 2015 Global Human Capital Trends)

Employees are valuable assets to the organization. Using the right communication skills helps employees feel understood, valued, and encouraged with a sense of purpose and a clear direction. In such a way, you can create an engaged workforce.

NLP analyzes employee responses to get higher insight into how the employee feels.

These insights are then used to identify the at-risk employees, evaluate engagement levels and find patterns across organizations.

Moreover, companies can combine communication and productivity software such as Slack and emails with NLP solutions, providing HR teams with real-time visibility into employee sentiment and morale.

The evolution of social media has revolutionized the amount of information and data available today, and for us, it has changed how Big data can be used.

Data available on social media platforms such as Facebook, Twitter, YouTube, blogs, and discussion forums make it possible to find relations between demographic information, language use, and social interaction between different individuals.

Is It Necessary to Use NLP in Social Media?

Yes — because there is too much data out there.

On Youtube alone, users consume one billion hours of video content daily.

And analyzing such big and unstructured data manually is an uphill task.

NLP in Social media analytics acts as a savior. For example, it finds meaning in such huge data gathered from social media platforms which helps make better business decisions. Similarly, this data measures the performance of actions based on those decisions.

However, NLP’s powerful algorithms are used to extract information, automate the process of categorization, clustering and summarization. Furthermore, makes machine translation of massive social media data an easy task.

Key Benefits of NLP in HR

There are many benefits for HR regarding Natural processing language, but it corresponds to varying levels of engagement and investment by Human resources.

• Recruitment Process
• Classifying and ranking
• Identifying personal traits
• Extraction of deep information
• Removing human biases

Survey and Feedback Analysis

• Sentiment analysis
• Human emotions
• Feedback analysis
• Survey analysis

Appraisal

• Improving competencies
• Approval rating
• Comments analysis

Career Management

• Identifying potential
• Identifying training needs
• Conflict resolution

Social Media Analysis

• Monitoring
• Behavior trends
• Data extraction from unstructured data
• Identifying competence and interest areas

Conclusion

Currently, The role of NLP is not just revolutionizing the field of HR for us but also making its way to transforming the fields of Marketing, Healthcare, Finance, and Education.

The HR field is specifically people-centric and communication-oriented, so it takes the lead in adopting NLP-based technologies. Moreover, it is considered a necessary technology for organizations with a progressive approach.

However, NLP techniques and applications will be more necessary to analyze big data in the future, integrated with multi-media processing techniques.

If you are looking to deploy effective NLP solutions to your organization, Our experts at RevolveAI will provide you with the best and most Innovative AI solutions.