Use key phrase extraction to quickly identify the main concepts in text

Keyword extraction uses machine learning artificial intelligence (AI) with natural language processing (NLP) to break down human language so that it can be understood and analyzed by machines.

What Is Key Phrase Extraction?


Key phrase extraction (also known as keyword detection or keyword analysis) is a text analysis method that automatically extracts the most used and most relevant words and phrases from a text. It helps summarize the content of texts and identify the main subjects discussed.

Keyword extraction uses machine learning artificial intelligence (ML) with natural language processing (NLP) to break down human language so that it can be understood by machines. It’s used to find keywords from all types of text: regular documents and business reports, social media comments, online forums and reviews, news reports, and more.

For example you want to analyze thousands of online reviews about your product. Keyword extraction enables you filter through the entire set of data and obtain the words that best describe each review in few seconds. That way, you can automatically see what your customers are saying most often, saving your teams hours upon hours of manual processing.

World Cloud Extraction


Word cloud is another example of keyword extraction. It shows visualizations of a text’s most frequently used words in word clusters. It provide you with quick and simple visual insights that can lead to more in-depth analyses.

In other words, word clouds are a great way to visualize sentiment, creatively display live poll responses, and turn a monotonous presentation into an interactive work of art. Data visualizations (like charts, graphs, infographics, and more) give companies a useful way to communicate important information at a glance.

word cloud Also known as tag clouds or text clouds, these are ideal ways to draw the most pertinent parts of textual data, from blog posts to databases. They can also allow business users compare and contrast two different pieces of text to find the wording similarities between the two.

Why Use a Word Cloud in Business?

Understanding Client Issues

Analyzing your customer satisfaction levels from social media posts' comments that your audience is talking about your brand.

  • It can be tough to finding insights simply reading each comment on an individual basis. Yet, when you create a word cloud with this feedback, you can quickly visualize what everyone is talking about.

Quickening Business Actions

you can see in seconds which talking points appear the most frequently

  • You’d adore to read through business comments it line by line, but you don’t have enough hours in the day, and you’re supposed to give a brief on the data the next morning. This is where a word cloud generator can help.

Analyzing Employee Sentiment

It is difficult to turn large unstructured text into meaningful action if you don’t know where to start

  • When you’re able to see which points your employees are consulting at the highest rate, you’ll know how to make practical and meaningful changes that can boost strengthen company culture, and improve performance.

Simplifying Technical Data

Presenting highly technical researching findings to a non-technical audience, such as your community board of directors

  • When you present a word cloud instead, you’re able to transfer the same findings in a more accessible and interesting way. This develops your reach and enables you to share important information in a way that doesn’t require advanced technical understanding.

Searching for Patterns in Data

Quantitative data, charts, graphs, and other data visualizations can help you identify key patterns

  • words cloud you see overpowering salient points and overlapping themes. These would be difficult to find in a tabular format, but they pop out in a word cloud.

Search Engine Optimization (SEO)

Good grasp on the kinds of keywords that your target audience wants to see

  • You can use a word cloud to see how your content appears to Google bots and similar machines. While it won’t reveal the more technical elements of SEO like headers, backlinks, and alt tags, it does help you see the general announcement that your page says.