Enhanced Topic Modeling
Poovammal E1, Madhurima Mukherjee2
1Poovammal E, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2Madhurima Mukherjee, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 298-301 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00690581S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We belong to an era of digitization where our collective knowledge is continuing to be stored in the form of electronic texts, i.e. blogs, news, scientific articles, web pages, images, audios, videos, social networks. As a result, it is getting more complicated to find out what we actually aim for. To handle this situation there is a rising need for analyzing huge collections of document. Topic modeling is a probabilistic generative modeling that is an efficient text mining technique for finding the hidden semantic structures of contents. In a natural way, topic modeling is discovering thematic structure in large volume of data and annotating those according to the structure. It finally uses those annotations for visualization, organization, summarization and many more purposes. New models of topic modeling are coming up with advanced inference algorithms. Improvements in algorithms will allow us to retrieve our required data in more efficient and optimized manner. The domain acts as a central concept for multiple on-going researches and we wish to add to it by our own survey. In this paper we have discussed about some methodologies which have been introduced in several papers of topic modeling.
Keywords: Cloud Computing, Data Security, User Behavior, Decoy Technology, Fingerprint Authentication, Face Recognition.
Scope of the Article: Emergent Topics