An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
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Updated
Jul 2, 2024 - R
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.
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
Movie Recommender System based on co-occurrence matrix/similarity matrix.
Text Processing using Pyspark
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