Some Faroese language statistics taken from fo.wikipedia.org content dump
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Updated
Dec 8, 2022 - Python
Some Faroese language statistics taken from fo.wikipedia.org content dump
A complete search engine experience built on top of 75 GB Wikipedia corpus with subsecond latency for searches. Results contain wiki pages ordered by TF/IDF relevance based on given search word/s. From an optimized code to the K-Way mergesort algorithm, this project addresses latency, indexing, and big data challenges.
Command line tool to extract plain text from Wikipedia database dumps
A Search Engine built based on Wikipedia dump of 75GB. Involves creation of Index file and returns search results in real time
Generates a JSON file with F1 Driver stats from a given year based on its wikipedia page
Generates tags cloud using MediaWiki XML content dump
Use the Word2Vec proposed by Google to train models (vectors) to be used in any word2vec application.
A simple SAX parser for large wikipedia dump files
This project uses the concept of random walk on a network and using the Power law, we can lay down topmost visited pages in random walk over the network. Main motive of this project was to discover which pages have more chances of being visited at any point of time and has high traffic.
Python implementation for inverted index creation and a search engine designed for a wikipedia dump
Framework for the extraction of features from Wikipedia XML dumps.
Visualize/explore word2vec datasets with pygame
Wikipedia importer tool for Apache Sling and Adobe AEM
Framework for the extraction of features from Wikipedia XML dumps.
Chat with local Wikipedia embeddings 📚
Identifies acronyms in a text file and disambiguates possible expansions
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