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  2. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  3. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Arora et al. (2016) [25] explain word2vec and related algorithms as performing inference for a simple generative model for text, which involves a random walk generation process based upon loglinear topic model. They use this to explain some properties of word embeddings, including their use to solve analogies.

  5. Pervasive Software - Wikipedia

    en.wikipedia.org/wiki/Pervasive_Software

    Pervasive Software was a company that developed software including database management systems and extract, transform and load tools. Pervasive Data Integrator and Pervasive Data Profiler are integration products, and the Pervasive PSQL relational database management system is its primary data storage product.

  6. Object Linking and Embedding - Wikipedia

    en.wikipedia.org/wiki/Object_Linking_and_Embedding

    Object Linking and Embedding (OLE) is a proprietary technology developed by Microsoft that allows embedding and linking to documents and other objects. For developers, it brought OLE Control Extension (OCX), a way to develop and use custom user interface elements.

  7. Cloud-to-cloud integration - Wikipedia

    en.wikipedia.org/wiki/Cloud-to-cloud_integration

    Cloud-to-Cloud Integration ( C2I ) allows users to connect disparate cloud computing platforms. [1] While Paas (Platform as a service) and Saas (Software as a service) continue to gain momentum, different vendors have different implementations for cloud computing, e.g. Database, REST, SOAP API.

  8. Multimodal learning - Wikipedia

    en.wikipedia.org/wiki/Multimodal_learning

    Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...

  9. Enterprise application integration - Wikipedia

    en.wikipedia.org/wiki/Enterprise_application...

    This can be accomplished through integration servers (like the School Interoperability Framework (SIF) Zone Integration Servers) or through similar software like the enterprise service bus (ESB) model that acts as a services manager. An independent data model based on a standard data structure, also known as a canonical data model.