ScaleText
| Authors | |
|---|---|
| Year of publication | 2017 |
| Web | Repositář projektu (neveřejný, přístup na vyžádání vůči podpisu NDA) |
| Description | ScaleText version 1.0 is a production-grade software system for large-scale scalable semantic search. The core of this result is a vector search engine, realized as a stand-alone software package that implements document indexing and search using vectors for text representation. The vectors are created automatically from plain text using several methods for semantic analysis: LSI, LDA, TF-IDF, Doc2vec a Stanford gloVe. The documents go through several stages, from preprocessing, segmentation, vectorization to vector encoding and storage. Each step is realized by a dedicated component, with its output backed by a backend database engine for persistence. Release 1.0 includes a full re-implementation of the entire pipeline at scale, in Python 3.5, including a set of top-level scripts for document indexing and a container architecture for deployment into production environments. |
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