word representation - EAS

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  1. Word Representations, a popular concept in Natural Language Processing, are often used to improve the performance characteristics of text classification algorithms. As the name suggests, it is used to represent words with an alternative form which is easier to process and understand. An example of word representation includes vector.
    iq.opengenus.org/word-representations/
    iq.opengenus.org/word-representations/
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    How does the word representation work?
    The word representations are in the form of vectors in a multi-dimensional space. It can work in two ways - one, it can predict with a certain probability, the word most likely to occur if the context is given or two, exactly the reverese, predict the context from a given word
    iq.opengenus.org/word-representations/
    What is a distributed word representation?
    One of the widely used distributed word representation is Skip-Gram model which is part of the Word2Vec library. It was created by a team of researchers led by Tomas Mikolov at Google. The main idea is to represent words by means of its neighbors. It tries to predict all neighboring words (the context) of a given word.
    towardsdatascience.com/word-representation-in-natural-l…
    What is the objective of a word representation model?
    The main idea is to represent words by means of its neighbors. It tries to predict all neighboring words (the context) of a given word. According to paper, the objective of model is defined as follows: where w is training word and c is the size of context. So its objective is to find word representations that can predict surrounding words.
    towardsdatascience.com/word-representation-in-natural-l…
  3. https://towardsdatascience.com/word-representation...

    WebDec 09, 2018 · One of the widely used distributed word representation is Skip-Gram model which is part of the Word2Vec library. It was created by a team of researchers led by Tomas Mikolov at Google. The main idea is …

  4. https://link.springer.com/chapter/10.1007/978-981-15-5573-2_2

    WebJul 04, 2020 · In the future, toward more effective word representation learning, some directions are requiring further efforts: (1) Utilizing More Knowledge. Current word …

  5. https://iq.opengenus.org/word-representations
    1. These representations are based upon word-word co-occurence matrices built on the vocabulary size of a given text corpus, taking into consideration the context, in terms of the columns in the matrix.
    2. Words are used to predict other words that co-occur with them.
    3. The word representations are in the form of vectors in a multi-dimensional space.
    1. These representations are based upon word-word co-occurence matrices built on the vocabulary size of a given text corpus, taking into consideration the context, in terms of the columns in the matrix.
    2. Words are used to predict other words that co-occur with them.
    3. The word representations are in the form of vectors in a multi-dimensional space.
    4. Storing these co-occurence matrices is memory-intensive
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    • https://www.merriam-webster.com/dictionary/representation

      Web1. : one that represents: as. a. : a statement or account made to influence opinion or action compare warranty sense 3. b. : an incidental or collateral statement of fact

    • https://www.wordhippo.com/what-is/another-word-for/representation.html

      WebA visual graph or map, especially of an area. A heraldic device or symbolic object as a distinctive badge of a nation, organization, or family. A notion, impression or idea (of …

    • https://www.thesaurus.com/browse/representation

      WebFind 40 ways to say REPRESENTATION, along with antonyms, related words, and example sentences at Thesaurus.com, the world's most trusted free thesaurus.

    • https://towardsdatascience.com/word-representation...

      WebDec 09, 2018 · A third approach is a family of distributional representations. The main idea behind this approach is that words typically appearing in the similar context would have a …

    • https://fasttext.cc/docs/en/unsupervised-tutorial.html

      WebWord representations Getting the data. In order to compute word vectors, you need a large text corpus. Depending on the corpus, the word... Training word vectors. To decompose this command line: ./fastext calls the binary …

    • NLP: Word Representation and Model Comparison Tree

      https://datajello.com/nlp-word-representation-and-model-comparison

      WebSep 18, 2022 · NLP: Word Representation and Model Comparison Tree. September 18, 2022 John. The landscape of the NLP (Natural Language Processing) is evolving quickly …

    • https://towardsdatascience.com/word-and-text...

      WebApr 23, 2020 · All these involve operating on words. Some, such as text similarity, involves operating on word sequences. Local Word Representations. By Id. In this, every …

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