Topic Modeling for Web Page using LDA Algorithm and Web Content Mining

Information on Internet and specially on website environment is increasing rapidly day by day and become very huge, this information plays an important role for discovering various knowledge in the Web. So, this web should be choosing the strong and efficient topic title. This paper is aim to generate topic model title for this web using LDA algorithm and based on web content mining. The compared (according to Topic Similarity, Title Length, Topic Coherence, Topic Saturation) between the LDA and NMF algorithms shows that the LDA algorithm is the best algorithm for this approach with our dataset.