Design of Query Processing System to Retrieve Information from Social Network using NLP

被引:3
|
作者
Virmani, Charu [1 ]
Juneja, Dimple [2 ]
Pillai, Anuradha [3 ]
机构
[1] YMCA Univ Sci & Technol, Faridabad 121006, India
[2] Natl Inst Technol, Dept Comp Applicat, Kurukshetra 136119, Haryana, India
[3] YMCA Univ Sci & Technol, Dept Comp Engn, Faridabad 121006, India
关键词
Query Processing; Social Network; LDA; Natural Language Processing;
D O I
10.3837/tiis.2018.03.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques. The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.
引用
收藏
页码:1168 / 1188
页数:21
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