Unlock Data Insights with Natural Language Processing

The Hidden Voice Inside Your Business Data

Imagine that you’re standing in the middle of a massive stadium with 50 thousand people. Everyone in that crowd is talking at same at the same time. The sound is deafening and is a roaring wall. There is a single person who has been quietly whispering the exact answer to your most significant sales drop. Three rows to the left is a third person yelling a message regarding a defect in the product that could cause your company to lose billions of dollars. On the opposite side of the stadium, someone is enthralled in telling a friend the exact aspect they’d be willing to pay twice to get today. Natural Language Processing gives you the full picture by combining hard figures with human motives that drive them.

But you can’t hear the sound. You’re overwhelmed by the volume. To you it is just an insignificant noise.

This is the reality for many business leaders of today. There is a lot of information. Your company collects thousands of emails, AI in customer support tickets as well as social media posts every day. In the tech world, we refer to this as unstructured data. In contrast to the tidy numbers you see in sales spreadsheets, the data in this one is messy since it’s human language. It’s packed with slang, jokes and sloppy spelling, as well as complicated emotions. It isn’t a good fit in the perfect rows or columns.

For a long period, businesses did not pay attention to this huge pile of text due to the fact that it was impossible to comprehend the entire text. The time it would require a large group of humans for years to study every email by hand. It was slow and expensive. Therefore, the data continued to talk and businesses remained silent. What if you had an extremely intelligent assistant who could be able to listen to the entire fifty thousand people who were in the stadium at exactly the same time? What if the assistant understood the exact meaning of each person’s words and immediately give you a brief list of the top ten crucial things you must address now?

That tool exists right now. It is called Natural Language Processing.

What Natural Language Processing Actually Does?

Natural Language Processing (NLP) is the technology that lets you listen to the voices of fifty thousand customers at the same time. It assists you in understanding the exact emotion and purpose behind each message. It detects the most critical flaws in your product before they harm your brand, and uncovers potential revenue sources hidden within your sales calls. It acts as an intermediary between human conversations and computer comprehension. It transforms the messy conversation of people into clear and structured information, which you can actually use to make choices.

Why Natural Language Processing is No Longer Optional?

You may be wondering why this is so important at the moment. The answer is easy. You’re not paying attention to the most valuable portion of your company’s data. The majority of the data on the planet is not structured. Studies show that more than 80% of the business data you use is text-based. It includes email messages as well as your contracts, as well as your chats with customer service.

The issue is that the majority of businesses are making massive AI consulting strategic decisions on 20% of their data. They analyze the structured data contained in their databases, such as revenue figures and clicks on websites. They operate without a second glance. The structured data will tell the story of what transpired. The unstructured data tells you the reasons for what occurred.

Let us look at a real example. Imagine your sales fell by 10% in the month prior. The spreadsheet will show you the decrease. It flashes an alert light in red. However, it is unable to tell you the reason. It could be that it’s because of an economic issue or the time of the year. However, your emails from customer support automation contain the solution. If you were to go through them all in one go, you’d see the number of clients expressing their displeasure that your checkout process has become difficult to navigate. Perhaps they’re complaining that your competitor is offering more value.

If you don’t have Natural Language Processing you are in the dark about this story. You’re guessing instead of being aware. Your competition is likely making use of these tools to monitor their customers. If you do not speak up, you’ll be left behind.

How the Technology Actually Works to Connect the Dots?

You may be wondering if the machine can comprehend the meaning of a joke, an issue or legal word. It’s not magic. It is a rational method of completing each step of like cleaning a messy library. We design customized Natural Language Processing (NLP) engines in Rain Infotech that follow this exact procedure to ensure accuracy.

The process is comprised of several key phases that transform text into a clear understanding.

The software for the system first performs data cleaning. The system collects all of your raw text from your emails and reviews and scrubs it clean. It is like the digital equivalent of a cleaner. It eliminates objects which are not important, like random web links or symbols or any extra spaces that could make the machine.

The next step is Tokenization, which is the process of breaking into pieces. A computer splits sentences into smaller chunks, which are called tokens. It breaks the words apart so it can examine them in a sequence. It determines which word refers to the person and which word is the action.

The system then focuses on ignoring the Fluff. Human language is filled with empty words. The system eliminates dull words that don’t add significance, like “the” or “and” or “is.” It is focused on crucial words that tell the real story.

Then the system will perform Context Analysis. This is where the real intelligence is generated. The system analyzes the ways that words connect. It also learns about the context. It learns, for instance, that “bank” means something different when you use “river bank” versus “bank account.” It is aware the concept that “sick” can mean “ill” in a hospital, but “cool” in a skateboard shop.

If you follow this procedure, Natural Language Processing can read millions of documents in just a few seconds. It lets computers label text with a significance and categorize an email with the words “Angry” or “Urgent” or “About Pricing” and show the results in a very simple dashboard.

Major Business Applications and Real World Benefits.

Utilizing Natural Language Processing is not only about implementing new technology to make money from it. It’s about reducing precious time, and making more informed choices which can earn your more money. Companies across all sectors are using these methods to increase their competitive advantage.

Sentiment Analysis for Brand Health The most significant application of this is Sentiment Analysis, which acts as an indicator of mood to help your company’s brand. This tool can answer the question of what people’s feelings are. It reads the text and tells you if the client is content or sad or angry. Large brands employ Natural Language Processing to watch social media and spot any issues.

• Find negative sentiments immediately following the launch of a new product
• Find happy customers willing to buy more
• Check brand reputation in real-time across several channels

Naming Entity Recognition for Organization. Another effective tool is named Entity Recognition that acts as an organizer master. It scans documents and pulls out vital information like names, dates, as well as the amount of money. If you’re a law firm or an insurance company that has many documents, this could be an essential tool. Natural Language Processing turns a fifty-page contract into brief one-page summary.

• Automatically take names and dates out of legal contracts.
• Take financial data from quarterly reports and instantly
• Sort patient information from medical records safely

Text Classification for AI automation services. Finally, there’s Text Classification, which acts as the organizer of your inbox. It sort the messages you receive into groups. It’s the engine that helps keep the spam out of your inbox. Also, in the business world, it sort support tickets.

• Directly address technical issues to the IT team.
• Directly send refund requests to the Finance department. Finance department.
• Prioritize urgent issues for immediate human review

The 24/7 Helper using Chatbots This is the sophisticated assistants that you can see on websites. AI chatbot app development services that are driven with Natural Language Processing are smart. They don’t just follow a script that is not very good. If a customer asks “Where is my stuff?” the bot understands that they need to find a package and assists them immediately. It is a great tool to help even when your staff is asleep.

Implementation Spotlight and Overcoming Challenges

Although Natural Language Processing is incredibly effective, it’s not perfect. Human language isn’t easy and machines are still struggling with the subtleties of the way we talk. Our philosophy is to remain open about these difficulties so that you can prepare for them efficiently.

One of the biggest obstacles can be Sarcasm as well as Nuance. If a client write “Great job deleting my account really helpful” computers might read”Helpful” and “Great”, a computer might see “Great” and “Helpful” and believe that the client is content.

• Advanced Natural Language Processing models require training on the context of a situation to identify irony
• The system should take a look at the whole history of the conversation, not just a single sentence
• Human reviews are sometimes required in emotionally complex cases

Another issue to be faced is Evolving Slang. The way we communicate changes daily. new slang terms are appearing every day through the web. We must keep the system up to date so that it can recognize the language used by people.

• Updates are regularly required for understanding new internet terms
• Specific industry jargon needs to be introduced to models
• The system needs to be adapted to various regional languages and dialects

Then there’s the problem regarding Data Privacy. The system is able to learn by the data you supply it. When working with emails from clients, we need to be extremely vigilant to secure confidential information.

• Remove sensitive names and numbers prior to processing
• Make sure you are in that you are in legal compliance with privacy laws, like GDPR.
• Use secure servers for processing confidential business information.

Conclusion

Natural Language Processing hands you the microphone. It helps you go away from guessing what customers need to know, and then knowing exactly what they’re looking for. It turns your cluttered pile of messages, chats and feedback into a concise concrete growth plan. In a time where customer experience is the most important factor and listening at a large scale is your biggest competitive advantage. Don’t allow your most valuable insights to disappear into the background noise. It’s time for you to start paying attention.

Rain Infotech is your strategic partner for an AI and Blockchain Development Company. We are experts in transforming raw unstructured data into valuable business intelligence. With a deep understanding of Natural Language Processing and custom AI development, we can help businesses to cut through the noise to discover the real voice of their clients. When you’re trying to automate the process of triaging support or analyze market sentiment, or develop efficient processes for internal use, our staff offers reliable, scalable solutions that have real-world impact. We don’t only build technology, we create an understanding.