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- W2334175399 abstract "Text classification is the task of assigning predefined categories to free-text documents based on their content. Traditional approaches used unigram based models for text classification. Unigram based models such as Bag Of Words(BOW) models are not considering co-occurrence of set of words in a document level. This paper proposes a way to find co-occurrence feature from anchor text of wikipedia pages, proposes a way to incorporate co-occurrence feature to BOW model. Finally the method is analyzed to know how it performs in task of text classification." @default.
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- W2334175399 date "2014-01-01" @default.
- W2334175399 modified "2023-10-14" @default.
- W2334175399 title "Text Classification by Augmenting Bag of Words (BOW) Representation with Co-occurrence Feature" @default.
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- W2334175399 doi "https://doi.org/10.9790/0661-16153438" @default.
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