“频率”和反常文件频率(IDF)如何受到中词删除和遏制的影响?
感谢!
tf is term frequency idf is inverse document frequency which is obtained by dividing the total number of documents by the number of documents containing the term, and then taking the logarithm of that quotient.
stemming effect is grouping all words which are derived from the same stem (ex: played, play,..), this grouping will increase the occurrence of this stem because frequencies are calculated using stem not words, For example, if you have 2 documents: the first one contains play 2 times and played 5 times, and the second document contains play 3 times and played 1 time if you do a search for play without stemming the second document will be first because it has more occurrence of the word play , while if you do stemming, both words will be play after stemming and the first document will be first cause it contains the stem play 7 times and the second document contains the stem play 4 times.
关于中途词的删除,它经常出现在所有文件中,并且没有将它视为其中任何一种关键词,它就会有很高的fr。
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