Wordcloud_lite uses a number of open source packages to work properly:
You can pass additional parameters to customize the wordcloud.There should not be any mising value before passing the data to the generate_wordcloud method.It is used most often for tags on the websites. WordCloud is a visual representation of the most common words within the text data.
Wordcloud_lite is a Python package to generate Word Cloud from the text data. D331–335.Wordcloud_lite Lightweight WordCloud Generator The Gene Ontology in 2010: extensions and refinements. LigerCat: Using "MeSH Clouds" from Journal, Article, or Gene Citations to Facilitate the Identification of Relevant Biomedical Literature. Sarkar IN, Schenk R, Miller H, Norton CN. WordCloud: a Cytoscape plugin to create a visual semantic summary of networks. Advances in Experimental Medicine and Biology. Visual Presentation as a Welcome Alternative to Textual Presentation of Gene Annotation Information. 1203–1204.ĭesai J, Flatow JM, Song J, Zhu LJ, Du P, Huang C-C, Lu H, Lin SM, Kibbe WA. ACM Tag clouds for summarizing web search results pp. Proceedings of the 16th international conference on World Wide Web: 2007 New York, New York, USA. Kuo BYL, Hentrich T, Good BM, Wilkinson MD. The open source availability of the software enables users to implement customized word-clouds on their own web-sites and desktop applications. Genes2WordCloud provides a useful way to summarize and visualize large amounts of textual biological data or to find biological themes from several different sources. Genes2WordCloud is freely available for use online it is open source software and is available for installation on any web-site along with supporting documentation at. Text is fetched from several sources and then processed to extract the most relevant terms with their computed weights based on word frequencies. Genes2WordCloud is a word-cloud generator and a word-cloud viewer that is based on WordCram implemented using Java, Processing, AJAX, mySQL, and PHP. Different options for rendering and coloring the word-clouds give users the flexibility to quickly generate customized word-clouds of their choice. It provides users with several different options and ideas for the sources that can be used to generate a word-cloud. Genes2WordCloud is a web application that enables users to quickly identify biological themes from gene lists and research relevant text by constructing and displaying word-clouds. As biologists are faced with the daunting amount of new research data commonly presented in textual formats, word-clouds can be used to summarize and represent biological and/or biomedical content for various applications. Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space.
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