Semantic word cloud generation based on word embeddings

Abstract

Word clouds have been widely used to present the contents and themes in the text for summary and visualization. In this paper, we propose a new semantic word cloud taking into account the word semantic meanings. Distributed word representation is applied to accurately describe the semantic meaning of words, and a word similarity graph is constructed based on the semantic distance between words to lay out words in a more compact and aesthetic manner. Word-related interactions are introduced to guide users fast read and understand the text. We apply the proposed word cloud to user generated reviews in different fields to demonstrate the effectiveness of our method.