Dishant arora biography sample paper

  • Dishant Arora is a young achiever who is trying to redesign learning spaces, foster more interaction and use technology as a powerful tool.
  • Dishant Daryani.
  • The paper contributes with a mathematical model for solving optimization problems and transport scheduling for the targeted garbage.
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  • dishant arora biography sample paper
  • Chapter 4 Text Classification

    Assoc. Prof. Dr. Nguyen Ngoc Vu

    14/01/2024 1
    Decomposing Texts with Bag
    of Words Model

    2
    Basic Concepts
    Topic Overview: Introduction to the Bag of Words (BoW)
    model, a foundational method in textual data
    representation and language processing.
    Functionality of BoW:
    Unordered Collection: Treats each document as a collection of
    words without considering their order.
    Focus on Frequency: Concentrates on the frequency or occurrence
    of each word, ignoring grammar and word order.
    Feature Extraction: BoW extracts features based only on
    word multiplicity, disregarding positional data and
    grammatical rules.
    Example Illustration: Sentences like “The cat sat on the
    mat” and “The mat sat on the cat” have identical
    representations due to ignoring word order.
    Importance in NLP: Serves as a foundational basis for
    various text processing and language-related tasks.
    Limitations: Lack of sensitivity to syntax and semantics,
    leading to potential loss of meaning and context.

    14/01/2024 3
    Vector Representation
    Core Concept: BoW model represents documents as frequency vectors.
    Vector Definition in Mathematics: Traditionally, an object with magnitude and direction,
    used to represent physical entities.
    Vector Transformation in NLP: In the BoW model, v

    Volume III Cascade II

    References


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