Advantages and Limitations of Word Clouds You might also want to create a Twitter word cloud to see which topics are trending on your Twitter feed and those of your competitors. That way, you can see if your content reflects your brand or if you need to improve it. You can paste your website’s URL into some word cloud tools, so you can see which keywords appear most often on your site. Your marketing strategy can also benefit from word clouds since they can help with keyword research and identify relevant SEO terms. You can also use word clouds to compare these results with future surveys and see how your employee’s perception evolves over time.

Once you’ve received a bunch of responses, you can use word clouds to see what they mention most often and how they mention it.

Some workers might feel “discouraged”, “confused”, “optimistic”, or “supported”, for example. This can be particularly interesting to assess the impact of a recent change or initiative in the workplace. You might also send out surveys to find out what employees like/dislike about working at your company. Try out our free online sentiment analyzer to get a feel for how it works. When it comes to sentiment analysis, word clouds are a useful starting point, but you can get more accurate and insightful results by performing a deeper sentiment analysis of your data. Words like “love”, “best” or “easy” suggest a positive view, while terms like “error”, “bugs” or “confusing” may alert you to potential issues. If words like “price”, “customer service”, or “features” appear bigger in your word cloud, you can get a sense of the aspects that matter the most to your customers.Īlso, you can gauge sentiment by noticing positive and negative terms.

Word clouds are a great starting point when analyzing qualitative data, to see which topics are mentioned most often.Ĭreating a word cloud from a series of survey responses, for example, can help you detect relevant themes and pain points. However, while quantitative data (like stars, likes, NPS scores, or yes-no questions) are easy to process, qualitative data (such as open-ended responses) requires more effort. Surveys, product reviews, and social media are just some examples of customer feedback that businesses collect. Let’s take a look at how businesses are using word cloud generators: Analyzing Customer FeedbackĬustomer feedback allows companies to understand what clients like and dislike about their products. Not only are they visually attractive, but they also provide quick insights to help you identify trends and patterns, and compare the main words in different qualitative datasets. This is intended to give you an instant insight into word_cloud implemented functionality, and help decide if they suit your requirements.You can create word clouds from all types of text, including tweets, product reviews, and excel data. Kandi has reviewed word_cloud and discovered the below as its top functions.

Open source word cloud generator