# DiceTechJobs/ConceptualSearch

<https://repo.masters-masters.com/en/repos/DiceTechJobs/ConceptualSearch>

[Home](https://repo.masters-masters.com/en) › [DiceTechJobs](https://repo.masters-masters.com/en/owners/DiceTechJobs) › [ConceptualSearch](https://repo.masters-masters.com/en/repos/DiceTechJobs/ConceptualSearch)

DiceTechJobs/ConceptualSearch has 261 stars on GitHub. Its RepoMasters card: Alpha tier. Train a Word2Vec model or LSA model, and Implement Conceptual…

| Field | Value |
| --- | --- |
| Owner | [DiceTechJobs](https://repo.masters-masters.com/en/owners/DiceTechJobs) |
| Stars | 261 |
| Forks | 52 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2015 |
| Topics | solr, word2vec-model, search-engine, conceptual-search, semantic-search, python, information-retrieval, synonyms, synonym-files |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [DiceTechJobs/ConceptualSearch](https://github.com/DiceTechJobs/ConceptualSearch) |

## Repository

Train a Word2Vec model or LSA model, and Implement Conceptual Search\\Semantic Search in Solr\\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.