Deep NLP: Sequential Models with RNNs

Harsha Bommana
Feb 27, 2020 · 9 min read

When we are using NLP to deal with textual data, one key point we must understand is that the data is always in the form of sequences and the order of the data matters. For any given sentence, if the order of words is changed, the meaning of the sentence doesn’t stay the same, hence we can say that the sentence information is stored in both the words as well as the order of the words in that particular sentence. In any type of data, if the sequential order matters, we call it sequential data.