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2. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   The use of different model parameters and different corpus sizes can greatly affect the quality of a word2vec model. Accuracy can be improved in a number of ways, including the choice of model architecture (CBOW or Skip-Gram), increasing the training data set, increasing the number of vector dimensions, and increasing the window size of words ...

3. 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]

4. Canva - Wikipedia

   en.wikipedia.org/wiki/Canva

   Canva is an Australian multinational software company that provides a graphic design platform that provides tools for creating social media graphics, presentations, postcards, promotional merchandise and websites. [6] [7] [8] Launched in Australia in 2013, the service offers design tools for individuals and companies.

5. 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 .

6. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   Unlike previous models, BERT is a deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus. Context-free models such as word2vec or GloVe generate a single word embedding representation for each word in the vocabulary, whereas BERT takes into account the context for each occurrence of a given word ...

7. Template:Text and translation - Wikipedia

   en.wikipedia.org/wiki/Template:Text_and_translation

   —{{{3}}} Template documentation [view] [history] [purge] Usage This template allows for the presentation of text in a language other than English alongside an English translation of that text. It is primarily designed for rendering poetic texts and their translations in parallel columns that are responsive to devices with display sizes smaller than a personal computer's screen. That is, on a ...