Tutivsoft Word Cloud Maker

If you already activated the pro plan, you can access the application here.

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What is Tutivsoft Word Cloud Maker Pro?

Tutivsoft Word Cloud Maker Pro is an application that allows you to enter text (either by pasting text inside the form or uploading a file) and get a Word Cloud.  You can decide many of the choices such as image resolution, the maximum number of words that should be there in the image, format (png, pdf etc) and many more such options.

It is a free online tool for making tag clouds and word clouds. Your computer, tablet, or phone may all use it. To create a word or tag cloud automatically, paste text or upload a document.

A word cloud, commonly referred to as a tag cloud, is an image of words. Popular words and phrases are highlighted using cloud creators depending on their frequency and importance. You can use this tool to create a word cloud online. They give you immediate, straightforward visual insights that can inspire more thorough analysis.

Word Cloud Maker

Who is it for?

  • Scientists
  • Professors
  • Business Leaders
  • Engineers
  • Doctors
  • Creative Professionals
  • Students
  • Social Media Companies

About this subject

A word cloud, also known as a tag cloud, is a textual data visualization that enables anyone to quickly identify the words that are most often used within a particular body of text. Word clouds are frequently employed as a processing, analysis, and communication tool for qualitative sentiment data. When you enter any text into our word cloud generator, a visual depiction of the most commonly used words will appear, sized in relation to one another. In a word cloud, the larger words are repeated more frequently. Anyone may rapidly visualize any type of text using word clouds.

How do I create a word cloud online for free?

Word clouds, often referred to as wordle, word collage, or tag clouds, are graphic representations of words that give terms with more frequent occurrences more emphasis. It will dynamically expand in size the words that are submitted by audience members the most frequently. This kind of visualization can assist presenters in gathering data from their audience rapidly, highlighting the most frequent responses, and presenting the data in a style that is accessible to all.

Word clouds, often referred to as tag clouds or word art, are used to illustrate and distill a wide range of data, from academic papers to consumer feedback to voice of the customer surveys. The standard version is a free word cloud generator and for more features you can buy the pro plan.

How can I create my own word cloud?

Word cloud generators are a great tool for organizing and displaying qualitative data. They let you quickly uncover insights from text data and make it easier to comprehend. We do not wish to claim to be the best free word cloud generator because there are far many more that have more features. But we are proud that this free word art generator gives you unique advantages like very high resolutions support, and very high dpi which other sites usually do not offer. You can summarized data to create the word cloud.

If you need to make creative word clouds or unique word art for a presentation, there are various word cloud generators to select from. People use this to create word cloud free. For a more full fledged option, we do find Mentimeter Word Cloud Maker is a good choice. If that does not suit your needs, then you can choose from monkeylearn wordcloud generator.

Other good choices in case you need different features:

Word cloud visualizations are effective tools for finding the narrative in unstructured data. You can quickly handle vast volumes of text using our free word cloud maker. So that insights may be realized, expressed clearly, and shared among teams, word clouds make it possible for anybody to swiftly detect and display trends in sentiment data.

  • Quickly analyze a significant amount of qualitative data.
  • Recognize trends in text/sentiment data that can be used to your advantage to get insightful knowledge.
  • Unlock the power of social sentiment from online reviews, surveys, spreadsheets, and other online content.
  • Enhance customer interactions at all points in the customer journey.
  • With insightful visualizations of your study, dominate your next meeting.
  • By sharing the insights, you are discovering across teams and departments, you may empower others inside your organization.
  • Utilize word cloud visualizations to gain support and put your ideas into action.

Who is it for?

General

Helps everyone is their routine research and analysis.

About this subject

A tag cloud is a visual representation of text data that is frequently used to display keyword metadata on websites or to visualize free form text. It is also referred to as a word cloud, wordle, or weighted list in visual design. Tags are often single words, and the font size or color of each one indicates its significance. The phrases are hyperlinked to the things connected to the tag when they are used as website navigation aids.

History of Word Cloud Maker

A tag cloud (or word cloud) is one sort of “weighted list” in the language of visual design. Tag clouds are frequently used on geographic maps to show the relative size of cities in terms of relative typeface size. The “subconscious files” in Douglas Coupland’s Microserfs (1995) are an early printed example of a weighted list of English keywords. In 1992, a German appearance took place.The term “tag cloud” and its particular visual representation became well-known in the first decade of the twenty-first century as a prominent component of early Web 2.0 websites and blogs, primarily used as a navigational tool and to visualize the frequency distribution of keyword metadata that describe website content.

Stewart Butterfield, a co-founder of Flickr and an interaction designer, introduced tag clouds on the popular photo-sharing website Flickr in 2004. Jim Flanagan’s Search Referral Zeitgeist, a visualization of Web site referrers, served as the foundation for that implementation. Around the same time, Del.icio.us and Technorati, among others, promoted tag clouds.

These early users’ use of the tag cloud method decreased as a result of its overuse and ambiguity over its usefulness as a web navigation tool. For the 2006 “Best Practices” Webby Award, Flickr’s five-word acceptance statement was “sorry about the tag clouds.”As a fundamental approach of text data visualization, tag clouds have a wide range of applications that a second generation of software development has uncovered. In this context, a number of tag cloud expansions have been suggested.

Types of wordclouds

Social software, Word Cloud Makers uses three different forms of tag clouds, which are defined by their functionality rather than their aesthetics. The frequency of each thing is tagged in the first kind, whereas the frequencies are aggregated across all users and items in the second type, which uses global tag clouds. The third form of cloud has categories, and the size of the cloud indicates how many subcategories there are.

Frequency in tag cloud

Size in the first type refers to how many times the tag has been used on a single object. When precise results are not required, this is a handy way to provide metadata about a subject that has been democratically “voted” on.

As a display of each tag’s popularity, size in the second, more widely used type, reflects the quantity of things to which a tag has been applied.

Significance of WordHaze Word Cloud Maker

The size can be used to reflect the importance of words and word co-occurrences in comparison to a background corpus (for instance, in comparison to all the content in Wikipedia), rather than frequency. This method depends on comparing the document frequencies to anticipated distributions, however it cannot be used independently.

Categorization in Word Haze Word Cloud Creator

In the third type, tags are used to group content into categories. Greater tags in a tag cloud indicate that there are more content items in that category.

Instead of creating tag clouds, there are ways to create tag clusters, such as applying tag co-occurrences in documents.To display non-tag data more broadly, the same visual method can be utilized, as in a word cloud or a data cloud.

A collection of keywords that are pertinent to a particular website is frequently referred to as a “keyword cloud” in search engine marketing (SEM). Tag clouds have grown in popularity recently due to their significance in helping Web page SEO as well as helping users easily navigate the material in information systems. When a search engine crawler crawls a website using a tag cloud as a navigational tool, the website’s resources become more interconnected, potentially boosting the site’s search engine ranking. They are frequently used from the standpoint of user interfaces to condense search results to help the user find information in a certain information system more quickly.

Visible manifestation

Most often, tag clouds are displayed using inline HTML elements. The tags can be arranged in a variety of ways, including alphabetically, randomly, by weight, etc. In addition to text size, other aesthetic aspects like the font color, intensity, or weight may also be changed. The most common structure is a rectangle tag arrangement with sequential alphabetical line-by-line sorting. The anticipated user goals must to be taken into consideration while choosing an ideal layout. Some people choose to employ embedding techniques like tSNE to position words, while others prefer to cluster the tags semantically such that related tags would appear close to one another. To highlight tag co-occurrences and display interactions, edges can be applied. Whether or not the goal is to cluster the tags, heuristics can be employed to condense the tag cloud.The shape of the entire cloud (e.g., rectangular, circle, given map borders), the shape of the tag bounds (rectangle, or character body), tag rotation (none, free, limited), and vertical tag alignment (sticking to typographical baselines, free) are some of the attributes that determine the visual taxonomy of tag clouds. A tag cloud on the internet needs to deal with issues like modeling and managing aesthetics, building a two-dimensional layout of tags, and doing all of this quickly on an unstable browser platform. To be robot-readable, tag clouds used on the web must be created on the client side using the fonts offered by the browser, be rectangular in shape, and be written in HTML rather than images.

Clouds of data

A data display that indicates numerical values by changing the font size and/or color is known as a “data cloud” or “cloud data.” It resembles a tag cloud except instead of counting words, it shows information like population or stock market prices.

Word clouds

A text cloud or word cloud is a weighted list that visualizes the frequency of words in a given text. The method has recently become widely utilized to illustrate the timely nature of political statements.

Collapsing clouds

A collocate cloud, which builds on the concepts of a text cloud, offers a more specialized view of a document or corpus. The collocate cloud analyzes a word’s usage rather than summarizing a whole document. The words that are frequently used in connection with the search query are included in the word cloud that results. Both frequency and collocational strength are formatted in these collocates to show up as size and brightness, respectively. This offers engaging ways to browse and investigate language.

Perception

There have been numerous usability studies that have looked into tag clouds. Based on an overview of study findings provided by Lohmann et al., the following summary is given:

Tag size: Large tags get the user’s attention more than small tags (impact influenced by additional characteristics, such as character count, positioning, and nearby tags).

Users scan tag clouds rather than reading them.

Centering: Users are more likely to pay attention to tags in the middle of the cloud than tags close to the edges (effect impacted by layout).

Position: According to Western reading tendencies, users pay greater attention to the upper left quadrant than the others.

Exploration: If individual tags don’t have extremely large text sizes, tag clouds don’t offer the best support while looking for them.Felix et al. studied how human reading performance differs between conventional tag clouds that correspond numerical values to font size and alternative designs that, for example, incorporate color or other forms like circles and bars. Additionally, they evaluated how alternative word arrangements affected performance.

Reading the numerical amount more accurately is enhanced by using an additional bar or circle rather than the font size.

However, when no additional mark is applied, users can find a certain word more quickly.

Performance is dependent on the task. Simple activities, like discovering a word, are significantly impacted by the design decision, but smaller effects are seen for tasks like determining the subject of a tag cloud.

Creation

In theory, a tag’s incidence in a tag cloud determines the font size of that tag. Frequency, for example, correlates to the number of weblog entries that are attributed to a category in a word cloud of categories like weblogs. Font sizes can be specified explicitly for lower frequencies, ranging from one to the largest font size possible. A scaling should be applied to larger values. The weight of a linear normalization.