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TF-IDF helps you to establish
most frequently occurring word in the document
most important word in the document
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1 Natural Language Processing - MCQs - Which of the following techniques can be used for keyword normalization in NLP, the process of converting a keyword into its base form?
2 Natural Language Processing - MCQs - Which of the following techniques can be used to compute the distance between two word vectors in NLP?
3 Natural Language Processing - MCQs - What are the possible features of a text corpus in NLP?
4 Natural Language Processing - MCQs - Dissimilarity between words expressed using cosine similarity will have values significantly higher than 0.5
5 Natural Language Processing - MCQs - Which one of the following are keyword Normalization techniques in NLP
6 Natural Language Processing - MCQs - Which of the below are NLP use cases?
7 Natural Language Processing - MCQs - In NLP, The process of converting a sentence or paragraph into tokens is referred to as Stemming
8 Natural Language Processing - MCQs - In NLP, Tokens are converted into numbers before giving to any Neural Network
9 Natural Language Processing - MCQs - TF-IDF helps you to establish
10 Natural Language Processing - MCQs - In NLP, The process of identifying people, an organization from a given sentence, paragraph is called
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