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

Abstract Scientometric analysis and topic modeling were deployed in this survey in order to map and structure knowledge in the state of the 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 is 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 a complement of bibliometric analysis further extends and makes clear how those keywords are semantically related and their contribution to topics while clustering based on bibliometric analysis is binary. Using both methods and approaches refed as TAKe, publications from different sources and types were 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 problems, financing has been treated for descriptive or exploratory purposes than as a decision variable hence predictive consultancy than prescriptive advisory in farm financing investment.