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  2. Opening (morphology) - Wikipedia

    en.wikipedia.org/wiki/Opening_(morphology)

    The images below present a simple opening-by-reconstruction example which extracts the vertical strokes from an input text image. Since the original image is converted from grayscale to binary image, it has a few distortions in some characters so that same characters might have different vertical lengths.

  3. Visual rhetoric - Wikipedia

    en.wikipedia.org/wiki/Visual_rhetoric

    In analyzing a text that includes an image of the bald eagle, as the main body of the visual text, questions of representation and connotation come into play. Analyzing a text that includes a photo, painting, or even cartoon of the bold eagle along with written words, would bring to mind the conceptions of strength and freedom, rather than the ...

  4. Voyant Tools - Wikipedia

    en.wikipedia.org/wiki/Voyant_Tools

    Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public.

  5. Closing (morphology) - Wikipedia

    en.wikipedia.org/wiki/Closing_(morphology)

    The closing of the dark-blue shape (union of two squares) by a disk, resulting in the union of the dark-blue shape and the light-blue areas. In mathematical morphology, the closing of a set (binary image) A by a structuring element B is the erosion of the dilation of that set,

  6. Noisy text analytics - Wikipedia

    en.wikipedia.org/wiki/Noisy_text_analytics

    Noisy text analytics is a process of information extraction whose goal is to automatically extract structured or semistructured information from noisy unstructured text data. While Text analytics is a growing and mature field that has great value because of the huge amounts of data being produced, processing of noisy text is gaining in ...

  7. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    In text-to-image retrieval, users input descriptive text, and CLIP retrieves images with matching embeddings. In image-to-text retrieval , images are used to find related text content. CLIP’s ability to connect visual and textual data has found applications in multimedia search, content discovery, and recommendation systems.

  8. Open text - Wikipedia

    en.wikipedia.org/wiki/Open_text

    In contrast, a closed text leads the reader to one intended interpretation. The concept of the "open text" comes from Umberto Eco 's collection of essays The Role of the Reader , [ 1 ] but it is also derivative of Roland Barthes 's distinction between 'readerly' ( lisible ) and 'writerly' ( scriptible ) texts as set out in his 1968 essay " The ...

  9. 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]