Limitations to Bag-of-Words
- It loses the sequence information from the dataset. It just relies on the frequency of words appearing.
- It creates very sparse dataset since many words tend not to appear in a document.
- It ignores the context.
- It doesn’t relate the terms and hence loses the relationship among words.
- Tend to overfit since so many columns are formed with increasing vocabulary.
Bag-Of-Words Model In R
Effectively representing textual data is crucial for training models in Machine Learning. The Bag-of-Words (BOW) model serves this purpose by transforming text into numerical form. This article comprehensively explores the Bag-of-Words model, elucidating its fundamental concepts and utility in text representation for Machine Learning.