Based on the experiment results, the function seems to assign higher values to words that are more closely associated with positive emotions or concepts. For example, words like "apple", "banana", and "computer" have relatively higher values compared to words like "cat", "dog", and "book". Additionally, the function assigns very low values to words related to negative emotions or concepts, such as "hate" and "sad". This suggests that the function is selective for concepts related to positivity and happiness.

Therefore, a possible description of the function could be:
[DESCRIPTION]: The function seems to measure the association of words with positive emotions or concepts. It assigns higher values to words associated with positivity and happiness, while assigning lower values to words associated with negativity or sadness.