co-occurence

meringlab/FlashWeave.jl

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

yafangshih/Deep-COOC

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

Ashu7397/cooc_texture

Co-occurrence Based Texture Synthesis

ashutoshsingh0223/mittens

A fast implementation of GloVe, with optional retrofitting

Pseudomanifold/Shakespeare

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

KBNLresearch/frame-generator

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

monisjaved/Data-Processing-With-Hadoop

Text Processing Using Hadoop

trinhd/Spark_GraphBasedMining

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

javad-sheikh/Texture-Segmentation

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

kobybibas/co_occurrence_filter

Co Occurrence Filter Matlab implementation.

thtang/Fintech-Text-Mining-and-Machine-Learning

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

AlmaasLab/micInt

R package for analyzing microbial co-occurences

guyez/NLP

prettyma/Feature-Engineering-Multi-class-Classification

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

adaboostmm/Fun-with-NLP

anee-helsinki/KingsQueensAndDeities

This repository contains the data used for and generated during our research for the article "Neo-Assyrian Imperial Religion Counts: A Quantitative Approach to the Affiliations of Kings and Queens with their Gods and Goddesses." The creation of this data has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727).

EtTu-Prayush/Word-Embedding-Algorithms

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

jycc-267/Ractopamine-Pork-Agenda-Setting

Compared the agenda setting strategies on the "Ractopamine Pork" Vote, one of the four questions in the 2021 Taiwanese Referendum, between pan-blue and pan-green media by using text mining approaches such as bag-of-words, w2v, topic model. Raw data were collected from four Taiwanese media (Chinatimes/TVBS/LTN/FTV) with Python Package BeautifulSoup.

mschemmel/corrnet

Scripts to convert correlation and p-value matrices to edge list and network

prettyma/Map-Reduce-model-Word-cloud-visualization

Data aggregation | Big Data Analysis | Visualization

RaThorat/discipline_analyses_of_proposals

It is important for a granting agency to know how the distribution of the applications qua disciplines is. ˆ How many applications belong to Exact Science disciplines, how many fall within one discipline? ˆ How many applications with disciplines outside exact sciences domain have been submitted?

sakusakueva/ImageToCo-occurrenceProbability

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

AdamPI314/Movie-Recommender-System

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

monisjaved/Data-Processing-With-Spark

Text Processing using Pyspark

Tchoks/big-data

big data project to generate random text and analyse co-occurence matrix