File:Topic detection in a document-word matrix.gif
Summary
| Description |
English: Animation of the topic detection process in a document-word matrix. Every column corresponds to a document, every row to a word. A cell stores the frequency of a word in a document, dark cells indicate high word frequencies. Topic models group both documents, which use similar words, as well as words which occur in a similar set of documents. The resulting patterns are called "Topics".[1]
Code for recording this animation with byzanz: byzanz-record --duration=25 --delay=5 --x=93 --y=15 --width=600 --height=547 --cursor=0 test.gif |
| Date | |
| Source | Own work |
| Author | Christoph Carl Kling |
![[1]](./File:Topic_detection_in_a_document-word_matrix.gif#cite_note-1){kind=link}
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