這是改寫自自mimno/jsLDA(A Live Demo)的中文版線上LDA，你可以點選這裡觀看如何準備你的測試資料。
Iterations: 0
Train with 12 topics
- Topic Documents
- Topic Correlations
- Time Series
- Downloads
- Vocabulary
Documents are sorted by their proportion of the currently selected topic, biased to prefer longer documents.
Words occurring in only one topic have specificity 1.0, words evenly distributed among all topics have specificity 0.0.
| Word | Frequency | Topic Specificity | Stoplist |
|---|
Documents are grouped by their "date" field (the second column in the input file). These plots show the average document proportion of each topic at each date value. Date values are not parsed, but simply sorted in the order they appear in the input file.
Topics that occur together more than expected are blue, topics that occur together less than expected are red.
Each file is in comma-separated format.