IP tracker with satellite

Youtube comments topics modeling and sentiment analyzer

This repository contains what I'm learning about NLP

An approach to organize text data generated from URLs by tagging it to facilitate data cataloging while maintaining the DCAT standards. Topic modeling algorithm 'LDA' is used for classifying data by finding best descriptor tags based on the content automatically.

This repository implements a pipeline to store various data of files from a large unstructured dataset. These fields are used for topic modeling (wordclouds, based on low-dimensional versions of embedding vectors, Named Entity Clustering and document-topic incidences). The information is aggregated and visualised using FCA.

Summarized Article Suggestion based on User interests using Latent Dirichlet Allocation (LDA) and Text summarization

Package for identifying the topics present in a collection of text documents and create summaries of texts