NLP using word2vec for Donor Matching

NLP using word2vec for Donor Matching

In our previous post, we noted how 1 and 2 grams from a query mission can be matched to donor mission statements to find an appropriate donor organization. We performed some text cleaning and used tf-idf as a metric for weighting the more important words. The final results showed some ... Read More
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Using NLP to find the perfect donor match - 1

Using NLP to find the perfect donor match – 1

One of the difficulties of starting a non-profit is finding donors and funding agencies. We've seen first hand the challenges involved! With so many different foundations with a wide variety of mission statements, how do we find one that is most closely aligned with our goals? ... Read More
Speeding up Leaflet-based Shiny Apps with Polygon Simplification

Speeding up Leaflet-based Shiny Apps with Polygon Simplification

Optimizing the performance of Shiny applications has a number of sub-topics that deserve attention. One particular class of applications that we've observed significant performance issues are those that involve the use of interactive maps with polygons overlaid from shapefiles. An example of this type of application can be seen in ... Read More
Reported Bullying Incidents in Iowa School Districts

Reported Bullying Incidents in Iowa School Districts

One of our fundamental goals of OAITI is to empower organizations, communities, and even individuals to collect and analyze their data ... Read More
Analyzing Unique Ingredients in World Cuisines

Analyzing Unique Ingredients in World Cuisines

Certain ingredients are often staples of particular world cuisines. The use of hard cheeses in Italian cooking, and the use of masalas in Indian cooking are two particularly well-known examples. We sought out to discover what ingredients are most uniquely associated with other various cuisines ... Read More
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