File:Topic model scheme.webm
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]
Русский: Анимация процесса определения темы в матрице документ-слово. Каждый столбец соответствует документу, каждая строка - слову. Ячейка хранит частоту слова в документе, более тёмные ячейки указывают на высокую частоту слова. Тематические модели группируют как документы, которые используют похожие слова, так и слова, которые встречаются в похожем наборе документов. Полученные шаблоны называются «темы» (topics). |
| Date | |
| Source | Own work |
| Author | Christoph Carl Kling |
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