Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
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Updated
Apr 26, 2019 - Jupyter Notebook
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Examples of Solr configuration entries for Solr plugins and Conceptual Search\Semantic Search from Simon Hughes Dice.com
Django-based web app developed for the UofM Bioinformatics Dept, now in development at Beaumont School of Medicine. Uses latent semantic analysis, text mining and web-scraping to find conceptual similarities ratings between researchers, grants and clinical trials.
WordPress Plugin for Deepi Search. Upgrade your site's "lexical search" to "Deepi's Conceptual Search". Conceptual Autocomplete is included.
Add a description, image, and links to the conceptual-search topic page so that developers can more easily learn about it.
To associate your repository with the conceptual-search topic, visit your repo's landing page and select "manage topics."