• DocumentCode
    575143
  • Title

    Application of opinion mining technique in talent management

  • Author

    Brindha, G.R. ; Santhi, B.

  • Author_Institution
    ICT Dept., SASTRA Univ., Thanjavur, India
  • fYear
    2012
  • fDate
    17-18 Aug. 2012
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    Manager is an articulate person, since managing is an art. Quantitative analysis about such person is vital. Workers are the essential part of any organization. Opinion mining is an important mechanism needed to measure the performance of top positioned workers. The main objective of this paper is to design a tool that will give opinion of the manager with respect to their attributes. Here relevant features of managers such as decision making, knowledge, communication skill, humility, inspiration and integrity are considered with weighted value. Subordinates view about their cardinality of that team leader are taken into consideration. Applying the mathematical model to the view points, reveals about their status, which is assigned with `moderate´, `good´ and `excellent´. This study also enhances that report by some more intrinsic feasible report about them. By this report, organization head may take decision on project allocation and provides suggestions to enhance their performance. This model is providing reports about managerial decision support, leader´s strength and area in which they need to concentrate for future best performance.
  • Keywords
    data mining; human resource management; organisational aspects; project management; articulate person; managerial decision support; mathematical model; opinion mining technique; organization; project allocation; quantitative analysis; talent management; top positioned workers; Data mining; Decision making; Lead; Organizations; Resource management; Support vector machines; Training; feedback; opinion mining; performance anlysis; preferance ranking; weighted features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Issues in Emerging Economies (ICMIEE), Conference Proceedings of 2012 Intenrational Conference on
  • Conference_Location
    Thanjavur, Tamilnadu
  • Print_ISBN
    978-1-4673-2044-3
  • Type

    conf

  • Filename
    6316812