An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

Inference of microbial interaction networks from large-scale heterogeneous abundance data

Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)

Co-occurrence Based Texture Synthesis

A fast implementation of GloVe, with optional retrofitting

Code and data for extracting co-occurrence networks from Shakespeare's plays

Tool for extracting topics, keywords and their collocates from a Dutch corpus. Includes and extends the functionality of the Keyword Generator.

Text Processing Using Hadoop

Unlabeled directed graph mining project from Co-occurrence graph of Document using gSpan algorithm based on Apache Spark

Texture Segmentation using: Gray-Level Co-occurence Matrix, Leung-Malik (LM) Filter Bank and Schmid (S) Filter Bank and Local Binary Pattern.

Co Occurrence Filter Matlab implementation.

Work in Fintech-Text-Mining-and-Machine-Learning class

R package for analyzing microbial co-occurences

Data Analytics pipeline using Apache Spark | Build multi-class classification models | Test the model using test data and compute accuracy of each method

Calculates the probability of co-occurrence from gray-scale images.

Text Processing using Pyspark

Movie Recommender System based on co-occurrence matrix/similarity matrix.

NLP Project 2 - Using ount Vector, TF-IDF Vector, Co-occurrence Matrix for Frequency based embeddings and made Word2Vec model using Continuous Bag of Words (CBOW) and Skip-Gram (SG) for Prediction based Embeddings