[英]Topic Modelling - I have used NMF and LDA, what is next?
I have used NMF and LDA for topic modelling in Python, with what I would call good results with NMF, and poor results with LDA.我已经使用 NMF 和 LDA 在 Python 中进行主题建模,我称之为 NMF 的良好结果,而 LDA 的结果不佳。
My data is highly domain specific, with a lot of unique/specific vocabulary.我的数据是高度特定于领域的,有很多独特/特定的词汇。
I am trying to improve my NMF output by trying some other methods.我正在尝试通过尝试其他一些方法来改善我的 NMF 输出。
Can anyone recommend what I should research/learn yet?任何人都可以推荐我应该研究/学习的内容吗?
thanks谢谢
May be PCA?可能是PCA? Table 2 and Table 4 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861298/表 2 和表 4 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861298/
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