Contents
How do you create a co-occurrence matrix?
To create a co-occurrence matrix, you go through a body of text setting a window size around each word. You then keep track of which words appear in that window. Rather than using the words around each center word to update a word vector like Word2vec does, you create a matrix to store co-occurrence counts.
What is co-occurrence window?
Typically, a symmetrical window of size three centered at the current word is used to count co-occurrences of context words appearing within the window.
What is the gray level co-occurrence matrix?
The Grey Level Co-occurrence Matrix defined by Haralick is a square matrix G of order N, where the (i, j)th entry of G represents the number of occasions a pixel with intensity i is adjacent to a pixel with intensity j.
How to calculate a word-word co-occurrence matrix with?
@Guiem Bosch In this case co-occurrences are measured only when the two words are contiguous. where, instead of using X, use a matrix Y with ones in positions greater than 0 and zeros in another positions.
How to generate a co-occurrence matrix in Python?
I am generating co-occurrence matrix (2000X2000) in Python. Vocab is a list of the 2000 top words in corpus. It does not contain all words in corpus. Corpus is a Pandas dataframe of 30000 (rows) sentences. My code is currently taking 120s per iteration and 364 hours to complete run. I am running this code in Google Colab with 25GB RAM.
How to calculate matrix of co-occurrence probabilities?
The next step is to calculate matrix of co-occurrence probabilities. Typically, a symmetrical window of size three centered at the current word is used to count co-occurrences of context words appearing within the window.
How is the context window used in co-occurrence counting?
The term context window is often used to specify the co-occurrence relationship. For bigrams, the context window is asymmetrical one word long to the right of the current word in co-occurrence counting. For trigrams, it is asymmetrical and two words long.