What Is Text Analytics And How To Use Text Analytics For SEO?

Without a doubt, SEO is the buzzword of the digital world. Look around and you’ll see every business and eCommerce store working hard on their SEO strategies to improve their Google search ranking.

While most business owners understand the importance of content marketing, keyword research, and link building in optimizing their SEO, some neglect the importance of text analytics and its role in increasing a website’s search ranking. This is what we’re here to talk about today. We’re here to discuss text analytics in detail so that you know what it is and how it can be useful to you.

What Is Text Analytics?

Text analytics is the process that helps in converting unstructured data such as social media posts or reviews into an organized form so that it makes sense and can be used for analysis. It helps in several different ways and some of them are;

  • Measuring customer opinion
  • Measuring feedback
  • Measuring product reviews
  • Providing search facility
  • Entity modelling for factual decisions
  • Sentimental analysis.

This process of text analytics involves the use of several different statistical, linguistic, and machine learning techniques. When information is retrieved from unstructured data such as social media reviews or blog content and the information is processed in a structured format using a text analytics program, the program derives trends and patterns and interpret the output data. The program uses everything from clustering to lexical analysis, predictive analysis and annotation to interpret the text data.

Text analytics can do wonders for your SEO strategies because you can use it to determine major keywords that shoppers or websites are using in their online content. Text analytics techniques can help you identify popular keywords, tags, semantics, categories and topics from a massive amount of text data. Once you’ve gathered and organized such information, you can incorporate the topics or keywords uses in your SEO content to match with your audience’s search queries and intents.

The Purpose of Using Text Analytics

Now that you have more insights to the concept behind text analytics, here are some of the more popular applications of this process:

  • It helps analyse sentiments
  • With it, you can get search access of all the unstructured data
  • Filtering all the emails and messages that have unwanted, promotional, phishing or advertisement material in them.
  • Helps in automating ad placement
  • Helps with national security and intelligence
  • Competitive intelligence
  • Data mining and enterprise business intelligence

How Can Text Analytics Be Used For SEO?

Now that you’re clear about the definition and some application of text analytics, you can learn about how to use this process to boost your website’s SEO.

Here are 4 major ways text analytics can help you with your website’s search ranking:

  1. Predicting Emerging Topics of Discussion

By using text analytics techniques, you can transform customer reviews, social media content, or text messages into the structured and unstructured data. Then, you can process the data and categorize it into different topics.

For example, if you’re a fashion retailer, you can analyze text on beauty blogs or forums and see what kind of topics that shoppers are interested in (e.g. summer dress, how-to tutorials, etc.) and create SEO content related to these topics.

  1. Translation Of Multilingual Customer Feedback

If you have a globe spanning business, it’s obvious that your customers will speak different languages as they’ll belong to different regions and countries. In such a situation, you can use text analytics to translate multilingual feedback.

If you’ve been manually translating every bit of the communication with your customers, you know that it’s a hectic task. By using a text analytics program, you can understand every praise and every rant of your customer as the program will translate the reviews in a language that your business understands. When you know the kind of feedback you are getting from all around the globe, you can then make changes to your SEO strategies and fix the flaws for a better ranking.

  1. Sentiment Analysis

By using sentiment analysis, you can extract subjective information and determine if a review is positive, negative, or neutral based on specific keywords in the review. For example, you can use a text analytics program to understand that the review “I didn’t like the waiter’s service at XYZ restaurant” is more of a negative review based on the keywords “didn’t like” in the review.

Once you’ve gathered a sufficient amount data from the text, you can create SEO content to address specific feedback. For example, you can create a FAQ page to address concerns that customers have about a product or service.

  1. Social Media Monitoring

You can use text analytics for social media monitoring to keep track and analyze text that social media users post online. For example, you can extract text from content that social media users create regarding your products, services, or industry or reviews that social media users leave on competitors’ social media channels and incorporate the text in your SEO content.

Overall Verdict

In a nutshell, text analytics is imperative for you to try if you want to boost your website’s SEO. Text analytics is all about collecting information and extracting data that you can’t access easily. It’s about understanding the sentiments of your customers, understanding their feedback and most importantly it’s about understanding the unstructured data on the search engines so that you can make a structured, effective SEO strategy accordingly. If you want to learn more about how text analytics can improve your SEO strategy, please get in touch using the form below!

Get In Touch

Contact Us

We are here to help you 7 days a week. If you have any questions or want to say ‘hi’, please feel free to get in touch!