@article{1444665,
      recid = {1444665},
      author = {Sonawane, Sheetal S. and Mahalle, Parikshit N. and  Ghotkar, Archana S.},
      title = {Information retrieval and natural language processing : a  graph theory approach /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (186 pages)},
      year = {2022},
      abstract = {This book gives a comprehensive view of graph theory in  informational retrieval (IR) and natural language  processing(NLP). This book provides number of graph  techniques for IR and NLP applications with examples. It  also provides understanding of graph theory basics, graph  algorithms and networks using graph. The book is divided  into three parts and contains nine chapters. The first part  gives graph theory basics and graph networks, and the  second part provides basics of IR with graph-based  information retrieval. The third part covers IR and NLP  recent and emerging applications with case studies using  graph theory. This book is unique in its way as it provides  a strong foundation to a beginner in applying mathematical  structure graph for IR and NLP applications. All technical  details that include tools and technologies used for graph  algorithms and implementation in Information Retrieval and  Natural Language Processing with its future scope are  explained in a clear and organized format.},
      url = {http://library.usi.edu/record/1444665},
      doi = {https://doi.org/10.1007/978-981-16-9995-5},
}