Does Your CMS Really Need NLP? Time To Find Out

By Vivek Pavani Sep 30, 2021
Does Your CMS Really Need NLP? Time To Find Out
Does Your CMS Really Need NLP? Time To Find Out

Artificial Intelligence today has great potential to improve our everyday lives. Automation, powered through AI, plays a vital role in different industries such as healthcare, banking, retail, and finance. AI has reinvented how technology can be programmed to behave and subsequently drive innovation in resolving day-to-day bottlenecks in our lives. From a content standpoint, NLP or Natural Language Processing is at the heart of redefining how your CMS processes and delivers content.

Natural Language Processing is an interesting AI-based solution because it brings in automation to create newer and more refined experiences for users by embedding their capabilities into legacy systems. 

This blog delves into how NLP can partner with content management systems to enhance user experience.

Advantages of Artificial Intelligence For Your CMS

By now, it is common knowledge of how AI is changing the world. For some people, the prime use of AI is to reduce costs through automation, and for some, it is to enhance customer experiences. When it comes to content management systems, AI is best used for content processing and analysis. 

Here are some of the notable ways that AI impacts today's content management systems:

  • Personalized Content and Marketing

AI algorithms are programmed to track user behavioral patterns to predict their future needs and expectations. This AI capability helps content marketers deliver personalized content to boost customer engagement, satisfaction, and business revenue.

  • Automatic Image Tagging

Image tagging has become an important task for e-commerce platforms and royalty-free stock image sites, where hundreds of thousands of images are uploaded every day. Displaying accurate search results that are relevant to the searched keyword is the end goal. AI-powered image recognition and tagging tools are equipped to analyze millions of online images in a matter of seconds. So, platforms have begun embedding such AI tools for keyword metadata enhancement to make content creation and image pairing more meticulous than ever before.

  • Text Intelligence and Analysis

AI is best used for analyzing the tone, voice, and sentiment of content. Artificial Intelligence can suggest how suitable a certain article or a blog is for the intended audience. AI predictive analysis is a powerful tool that has varied use cases based on different industry requirements.

  • Accelerated Content Creation

AI today is not completely able to create original stories on its own. However, its capabilities of natural language processing (NLP) and natural language generation (NLG) can help accelerate content generation. Some of the areas where AI is already helping are content translation, audio and video transcription, auto-tagging and metadata creation, performing grammar checks, and also enabling content protection.

  •  Voice-Controlled Platforms

AI-assisted voice services have improved vastly over the last decade. Apple's Siri, Google Home, Alexa, and Microsoft's Cortana are famous examples of how AI definitively helps increase the productivity of millions of people every day. Content management platforms that provide voice-assisted services, including voice-to-text and voice commands, have a real future in defining how content will be consumed. 

What Exactly Is Natural Language Processing?

Natural Language Processing is an innovative application of AI technology to analyze large amounts of data or content and derive meaning from it. NLP aids in eliminating a tremendous amount of manual effort by using automated processes to sift through data. NLP has been popular for quite some time, but it is often used in only complex enterprise systems for large corporations that have vested interests in automating data-mining efforts.

A brilliant use case is the utilization of Google Natural Language Processing APIs on Drupal sites. NLP can be leveraged to analyze site content and even auto-tag content, based on a common taxonomy. Google’s integrations with Ashday facilitated the release of two new Drupal modules to help with Google’s service. They are the Google NL API and Google NL Autotag modules.

NLP makes it easy to process tons of language data collected from Google searches, website visits, and/or social media pages. Subsequently, you can use this information to improve marketing strategies across different channels and define your content marketing goals. If you are on a Drupal website, NLP can aid your content efforts and bring more functionalities to your website, mainly using APIs. 

NLP APIs enable developers to integrate incredible solutions, such as human-to-machine communications, into their applications to complete several vital tasks. Performing sentiment analysis, speech recognition, and entity analysis are made possible by API-enabled NLP. A cloud natural language API allows developers to set up a natural language infrastructure quickly. This helps developers in sentiment analysis and extracting actionable insights from the written text.

How NLP & AI-Based Tools Elevate Drupal-based Websites

Information Architecture alongside AI plays an important role in obtaining specified user information from an enormous amount of information. AI, by using Information Architecture, can connect to the user interface and provide user-relevant content tagging.

This process simply looks for any information that is often targeted, easily available, and cross-linked between various channels. This is achieved by the means of AI creating a relationship between the data. By cross-linking data, organizations can focus on the requirements of end-users and gain effective results by enabling the interface to process huge amounts of data. 

Hi, I Am NLP! What Can I Do For You?

At its core, NLP can accelerate the execution of multiple tasks by utilizing its models to their full potential.  Some of the use cases of NLP and what your CMS can accomplish effectively through its usage are:

  • Thoroughly analyzing text from books, documents, journals, and so on to retrieve important information. NLP can help process highlighted information from a book, making research efforts that much simpler.
  • Understanding hand-written doctor prescriptions is an exciting and essential use case of NLP. With enough data sets to train the NLP model, you can program your CMS to easily understand, analyze, and recognize the handwriting of doctors or other handwritten text.
  • Building more personal, sophisticated, and accurate chatbots is possible with NLP. Chatbots are already a key part of many industries today. It is important that the information that they provide to users is relevant and verified. NLP helps furnish automated responses for chatbots based on in-depth keyword knowledge training.
  • One of NLP’s key use cases is enhancing brand reputation. Businesses moving their enterprises online have made online reputation management a requirement. NLP, by its use of sentiment analysis, can help a brand adhere to the highest of standards. Through information gathered from customer reviews, customer satisfaction index, feedback, and more, NLP can help you avoid common online faux pas and brand failures.
  • NLP also ensures that your brand is up to date with the latest, trending hot-topics by performing a thorough comb and search for the latest information. By providing you quick, actionable insights about public sentiment, NLP boosts your chances of staying relevant at all times. 

From a content building and marketing perspective, NLP can ensure optimal performance when coupled with your CMS. In Drupal architecture, intelligent design is already a part of the setup. Drupal-based CMSes can highly benefit from adding the wide array of automation and convenience that NLP brings into the fold. To fulfill your brand’s content cycle and effectively ensure end-to-end content management, Natural Language Processing in a Drupal distribution is the answer.

NLP Does Matter 

Every brand marketer worth their salt knows that words have the power to stir emotions, behavior, ideas, and actions among users. NLP can be applied in numerous ways to drive automation and optimization of content marketing efforts, not just with machine-like efficiency, but also with a truly personal and human touch. 

Find out more on how you can equip your CMS with AI automation and NLP.  Get in touch with us right away!

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