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

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?

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

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

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.

R package for analyzing microbial co-occurences

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

Text Processing using Pyspark

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).

Co Occurrence Filter Matlab implementation.

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

The Document Statistics Analyzer is a Python tool that analyzes text documents (PDF, DOCX, TXT), providing word, sentence, paragraph, and document-level insights. It generates reports in Markdown, HTML, or PDF with visualizations like word clouds and sentiment heatmaps, packaged in a ZIP archive, using NLTK, spaCy, and Gradio.

Data aggregation | Big Data Analysis | Visualization

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

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

🔍 Analyze PDF files effectively with this Python tool, testing compatibility across libraries to guide optimal PDF processing solutions.

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

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