Microblog topic evolution computing based on LDA algorithm

Topic words analysis based on LDA model

Social network analysis (SNA), which is a research field describing and modeling the social connection of a certain group of people, is popular among network services. Our topic words analysis project is a SNA method to visualize the topic words among emails from Obama.com to accounts registered in Columbus, Ohio. Based on Latent Dirichlet Allocation (LDA) model, a popular topic model of SNA, o...

A Text Mining Research Based on Lda Topic Modelling

A Large number of digital text information is generated every day. Effectively searching, managing and exploring the text data has become a main task. In this paper, we first represent an introduction to text mining and a probabilistic topic model Latent Dirichlet allocation. Then two experiments are proposed Wikipedia articles and users’ tweets topic modelling. The former one builds up a docum...

Latent Topic Model Based on Gaussian-LDA for Audio Retrieval

In this paper,we introduce a new topic model named Gaussian-LDA, which is more suitable to model continuous data. Topic Model based on latent Dirichlet allocation (LDA) is widely used for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which is a multinomial distribution over ...

Microblog Search Task at CLEF 2017: Query Generation using IR and LDA Topic Modeling Combination

The microblogs search task at CLEF 2017 consists of developing a system to search the most relevant microblogs for cultural query in a collection about festivals in all languages. Our general approach to get this objective is the following: we propose to generate from the initial tweet queries, provided for the task, extended queries able to get an answer-rich set of microblogs. This is achieve...

Topic Models - LDA - Experiments