Event Information Organization Algorithm about Enterprises Based on Timeline

To organize process of a number of events containing common topics, the paper proposed an event information organization algorithm by two text clustering, topic clustering which combines Latent dirichlet allocation model (LDA model) and TF-IDF model and event Hierarchical Clustering based on timeline. Topic clustering is a topic clustering through dynamic K-means in which the document vector distance is calculated. It can be known that events sets have a common topic by this clustering method. And another clustering method event hierarchical clustering is a clustering events phase based on timeline. In a word, this paper organizes event information by combining the above two clustering methods.