The evolution of AI and machine learning has allowed machines to speak, write, listen, and understand the human language. Consumers come across natural language processing (NLP), a type of AI, in daily life while using digital voice assistants like Alexa, Siri, or Google Assistant.
Influenced by the COVID-19 pandemic, the global AI market may see a 42.2% CAGR growth from 2020 to 2027. A massive move to digital boosts the demand for NLP, technology that enables speech recognition interfaces, helps improve customer service, gather feedback, analyze customer sentiment, and empower chatbots, to name a few.
This article discusses the ways how natural language processing helps business owners gain a competitive advantage by improving multiple processes within the companies.
Table of Contents
Understanding NLP
NLP technology is the application of machine learning and AI used to comprehend human written or spoken language and, as the output, generate responses. It assists in handling and analyzing large amounts of data and enables computers to mimic the human brain processing information.
Much of the data science efforts is focused on predicting human intent and behavior so that computers can take actions automatically. Thus, an NLP system enables Amazon Echo or Google Home to respond to a request by reproducing the text or music or adding a particular bookmark to a web page.
Other applications of NLP involve managing social media, spam filtering, email malware detection, texting messages, or responding to voice commands. Follow this article to learn the examples of using NLP in business processes that you could adopt to make the best of modern technology.
1. Build Your Brand Recognition
Having a well-known and easily recognizable brand should be your top priority if you want to succeed in the chosen niche. You may achieve this goal by using social media, social networking apps, and social media analytics.
Social media monitoring solutions developed by an AI company like InData Labs identify the key influencers, customer sentiment associated with a brand and provide you with a real-time view of topics your target audience actively discusses. You may collect relevant information about consumers’ experience with your product, web platform, or services, determine the best-fit marketing channels and target audience.
For example, harnessing semantic analysis, which relies on natural language processing, may provide you with insights into unstructured data, such as social media posts, articles, comments, subtitles, and other content forms. Having all the data at hand, your marketers may use it to deliver the most relevant content to your consumers and move your brand forward.
2. Strengthen Your Email Marketing
Email marketing is one of the best tools for improving conversion rates. But how can you get the best results out of your email newsletters without spending lots of resources? Use NLP to create and launch personalized email campaigns based on an individual’s past behavior.
If you want to send personalized emails to a consumer, start by collecting information about the consumer preferences and past actions. You could find out a purchase history, current consumer location, email address, and other information to use for personalization.
Employ the gathered information to draw up and send emails to consumers based on their interests and anticipate their needs. After that, you may continue your campaign with personalized offers that are discounts for targeted consumers.
3. Use NLP to Filter Spam
The use of natural language processing and Artificial Intelligence in anti-spam filters is another example of the high-value of the technology that helps banks, retailers, media outlets, and others detect malicious URLs. You may harness it to protect your business from the negative impact of spamming on advertising, productivity, and digital security.
AI-based spam filters make spam detection more accurate if compared to basic checking of large databases of keywords and phrases against databases of known malicious URLs. NLP allows eliciting patterns and relations in probable spam phrases and enriches existing databases with new spam patterns. AI and NLP are great for detecting anomalies in newsletters, web search engines, online retailing platforms, and on.
4. Let Technology Create and Deliver Content
World-known media organizations like Bloomberg, Forbes, or Associated Press publish plenty of data-rich content written by machines. AI-powered content creation systems produce natural-sounding and relevant content, offer topics and subjects for articles, automatically generate and optimize texts.
Technology may recognize specific texts and news pieces, learn from them, and create and deliver similar articles in a format that might be a better fit for your target audience. If you prefer human-made content, you may still use machine learning-based systems to generate headlines that are more likely to get read or suggest the best content format for distribution.
Conclusion
NLP is an on-trend and exciting technology with which you could uncover new business opportunities. The technology might be of immense help to facilitate business decision-making, achieve the highest marketing and advertising results, upgrade security measures, and boost consumer loyalty to your brand.
Businesses that rely on manual processes and manual data gathering will soon find it extremely tough to compete in a fast-moving digital world. You should invest in technology today if you wish to stay on the market in the future.
