Non-governmental organizations (NGOs) make significant contributions to diverse areas. Similar to for-profits they need to manage their knowledge, but often lack resources for this. Social software may give a “new hope” for knowledge management in NGOs particularly by implementing social knowledge environments (SKEs). Since majority of international NGOs have a website, is it possible to use it to support SKE? This paper proposed a theoretical framework for creating a SKE on the base of NGO website. Proposed website model considers NGO features from this perspective and shows the approach to SKE development. Web mining a process through which meaningful data and patterns are acquired from large data sets, can benefit the charitable sector. Since the techniques used for mining meaningful data relies on computer science and coding, it is often automatic (or semi-automatic) once the algorithms are in place. Therefore, this process can be a feasible and effective tool for donor profiling in India.
NGO, K-Mean Algorithm, ANN, CNN, API, SKE(Social Knowledge Environment), Data Mining
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