- with Word Cloud, and segmenting to words wordcloud_jieba.ipynb
- to use a precise segmenting module ckip_tagger.ipynb
- a comparison method to show differences of TF-IDF scores, short article or sentences fit it radar_plotting.ipynb
- A corpus level, huge volume of texts, to show pososible topic inside corpus LDA_visualization.ipynb
- A basical and small corpus downloaded from wikipedia, and utilizing with that to produce a tSNE plotting, showing the trained vector for each words, word2vec_vis.ipynb.
- Now, some essay already proven that the 2 techniques, LDA and Word2Vec, could be combined to used.
paper: An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
