Enhanced Automatically Mining Facets for Queries and Clustering with Side Information Model
Journal Title: Bonfring International Journal of Software Engineering and Soft Computing - Year 2018, Vol 8, Issue 2
Abstract
In this paper describe a specific type of summaries that Query facet the main topic of given text. Existing summarization algorithms are classified into different categories in terms of their summary construction methods (abstractive or extractive), the number of sources for the summary (single document or multiple documents), types of information in the summary (indicative or informative), and the relationship between summary and query (generic or query-based). QD Miner aims to offer the possibility of finding the main points of multiple documents and thus save users? time on reading whole documents. The difference is that most existing summarization systems dedicate themselves to generating summaries using sentences extracted from documents. In addition, return multiple groups of semantically related items, while they return a flat list of sentences. In this paper, adding these lists may improve both accuracy and recall of query facets. Part-of-speech information can be used to check the homogeneity of lists and improve the quality of query facets. The side-information could not be incorporate into the mining process, because it can either improve the quality of the representation for the mining process, or can add noise to the process. Therefore, a principle way is required to perform the mining process, so as to maximize the advantages from using this side information. This dissertation proposes an algorithm which combines classical partitioning algorithms with probabilistic models in order to create an effective clustering approach.
Authors and Affiliations
Vidhya K, Saravanan N
Keywords
Related Articles
- EP ID EP405043
- DOI 10.9756/BIJSESC.8387
- Views 121
- Downloads 0
A Study of Data Storage Security Issues in Cloud Computing
Cloud computing provides on demand services to its purchasers. Knowledge storage is among one in every of the first services provided by cloud computing. Cloud service supplier hosts the information of knowledge owner on...
Simulation of Dynamic Load Balancing Algorithms
Cloud computing is a new technology which uses virtual machines instead of physical machines to host, store and network different components. Load balancing is a methodology to distribute workload across multiple compute...
Android Application Development for Textile Industry
The main motivation for the application development for textile industries is fashion cycles are developing faster than ever. The current world is enclosed with a large number of digital visual information. Sample approv...
Networks Flaws and Filtering Using KNOD Algorithms
Substantial simulations going from equipped along with attached chip show up that fact our coordination in attaining rich disappointment contribution moreover misleading portrait, as a consequence low conversation cost o...
Transient Free Convective Flow over a Vertical Cone Embedded in a Thermally Stratified Medium
Unsteady natural convection flow of a viscous and incompressible flow over a vertical cone immersed in a stable thermally stratified medium is theoretically studied in this paper. The dimensionless coupled partial differ...