Agricultural and Biological Research

Scientometric Analysis and Topic Modeling for Farm Financial Decision Modeling (FFDM)

Gedefaye Achamu*, Eshetie Berhan, Sisay Geremaw and Shimels Tilahun

Scientometric analysis and topic modeling deployed in this survey in order to map and structure knowledge in the state of art of farm financing decision making. Application of scientometric approach based on bibliometric analysis help to capture the interest of scholars and organization to the problem domain and also found essential in clustering keywords, authors and publication to some sort of schemes and hence mapping of knowledge through visualizing map. Topic modeling as complement of bibliometric analysis further extends and makes clear how those keywords semantically related and their contribution to topics while clustering based on bibliometric analysis is binary. Using both methods and approach refed as TAKe, publications from different source and type examined and analyzed for state of art of farm financial decision making. The survey then signals, in the state of the art of farm financial problem, financing has been treated for descriptive or exploratory purpose than as decision variable hence predictive consultancy than prescriptive advisory in farm financing investment.

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