A word cloud is a visual representation of text data where the size of each word reflects its frequency or importance in the source material. It’s like a snapshot of the most prominent themes or terms—great for quickly grasping what stands out in a body of text.
Analysing how frequently a particular phrase appears in a Word document can offer surprisingly rich insights. For writers and editors, this quantitative approach can reveal stylistic patterns and thematic consistency. It helps fine-tune rhythm by spotlighting repetitive structures, supports thematic development by identifying key motifs, and uncovers unconscious habits—such as overused expressions or filler phrases—that may dilute the clarity or impact of the work.
Labels insights serve as metadata within a Word document, enabling the identification of specific entities such as characters, locations, and individuals. These labels not only highlight where such entities appear throughout the document but also track the frequency of their mention, providing useful insights for tasks like content analysis, narrative mapping, or editorial review.
Readability analysis helps determine how easy or difficult it is to read and understand each sentence in a document. Upload your Word file now to see which of your sentences are the hardest to read.
Sentiment analysis evaluates the emotional tone of each sentence in your document—whether it's positive, negative, or neutral. Upload your Word file now to uncover the most positive and negative sentences and gain insights into how your message might be received.