Survey on Key Phrase Extraction using Machine Learning Approaches

The automated keyword extraction task is to define a collection of representative terms for the text. Extracting keywords defines a small collection of terms, key phrases and keywords that define the document’s context. Keyword search allows large document collections to be searched effectively. To allocate suitable key phrases to new documents, text categorization techniques can be applied. A predefined collection of key phrases from which all key phrases for new documents are selected is given in the training documents. The training data for each key phrase describes a collection of documents associated with it. Standard machine learning techniques are used for each key phrase to construct a classifier from the training materials, using those relevant to it as positive examples and the rest as negative examples. Provided a new text, it is processed by the classifier of each key phrase. 

by Preeti Sondhi | Aakib Jabbar "Survey on Key Phrase Extraction using Machine Learning Approaches" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39890.pdf 

Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/39890/survey-on-key-phrase-extraction-using-machine-learning-approaches/preeti-sondhi

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