Graph learning and network science for natural language processing / 
Edited by Muskan Garg, Amit Kumar Gupta, and Rajesh Prasad. 
 - 1st ed. 
 - Boca Raton, FL :  CRC Press,   2023. 
 - xv, 255 p. 
<br/><br/>Graph of words model for natural language processing (Sharayu Mirasdar, Mangesh Bedekar) -- Application of NLP using graph approaches (Narendra Singh Yadav ... [et al.] -- Graph-based extractive approach for english and hindi (Rekha Jain ... [et al.] -- Graph embeddings for natural language proessing (Jyoti Gavhane, Rajesh Prasad, and Rajeev Kumar) -- Natural language processing with graph and machine learning algorithms-based large-scale text document summarization and its applications (Shaikh Ashfaq Amir ... [et al.] -- Ontologyk and knowledge graphs for semantic analysis in natural language processing (Ujwala Bharambe, Chhaya Narvekar, and Prakash Andugula) -- Ontology and knowledge graphs for natural language processing (Jayashree Prasad ... [et al.] -- Perfect coloring by HB color matrix algorith method (A. A. Bhange, H. R. Bhapkar) -- Cross-lingual word sense disambiguation using multilingual co-occurence graphs (Neha Janu ... [et al.] -- Study of current learning techniques for natural language processing for early detection of lung cancer (Vanita D. Jadhav, Lalit V. Patil) -- A critical analysis of graph topologies for natural language processing and their applications (Meenakshi Nawal ... [et al.] -- Graph-based text document extractive summarization (Sheetal Sonawane) -- Applicaions of graphical natural language processing (S. V. Gayetri Devi, T. Nalini, and K. G. S. Venkatesan) -- Analysis of medical images using machine learning techniques (Nikita Jain ... [et al.]. 
<br/><br/><label>ISBN: </label>9781032224572 
<br/><br/><label>Subjects--Topical Terms: </label><br/>TEORIA DE GRAFOS<br/>ANALISIS DE SISTEMAS<br/>PROCESAMIENTO DE LENGUAJE NATURAL
<br/><br/><label>Dewey Class. No.: </label>004.21  / G766