Search Results for "text mining concept"

SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings. The initial work is described in our paper Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. You can use this framework to compute sentence / text embeddings for more than 100 languages. These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for semantic textual similar, semantic search, or paraphrase mining. ...

Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.

Based upon my 20+ year old super fast QCrt text mode display driver, QuickCrt is an event driven object-oriented framework for rapid application development using Turbo Pascal 7.0 for DOS. Completely self contained, it uses no 3rd party or original Borland units (excluding the built-in System unit). It uses no Turbo Vision and is more like Delphi minus the drag and drop. It has support for String formatting, Custom text fonts, Themes, Keyboard mappings, Config files and Multiple languages baked into it. ...

Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.

Mutis is a Delphi port of the Lucene Search Engine. Provide a flexible API for index, catalog and search text-based information with great performance. Excelent for implement custom search engines, researching, text retrieval, data mining and more.