GitHub - qiubeiping8/MovieAnalysis: MovieAnalysis: K-means and LDA topic modeling analysis to identify latent topics. Clustered unlabeled textual documents into groups and discovered latent semantic structures using Python. Natural Language (NLP) Preprocessed text by tokenizing, stemming and stopwords removing, and extracted features by term frequency-inverse document frequency (TF-IDF) approach. Trained unsupervised learning models of K-Means Clustering and Latent Dirichlet Allocation (LDA). Identified latent topics and keywords of each document for clustering and calculated document similarity. Visualized model training results by dimensionality reduction using Principal Component Analysis (PCA).

qiubeiping8 / MovieAnalysis Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

MovieAnalysis: K-means and LDA topic modeling analysis to identify latent topics. Clustered unlabeled textual documents into groups and discovered latent semantic structures using Python. Natural Language (NLP) Preprocessed text by tokenizing, stemming and stopwords removing, and extracted features by term frequency-inverse document frequency (T…

1 star 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Matrix_Project.ipynb		Matrix_Project.ipynb
plot_summaries_imdb.txt		plot_summaries_imdb.txt
plot_summaries_titles.txt		plot_summaries_titles.txt
plot_summaries_wiki.txt		plot_summaries_wiki.txt