Saurav Sanap
, Ruturaj Sawant , Shazeb Sayyed , Devarshi Wadadkar , Shoaib Shaikh
Generalization of Hindi text, extractive access, tokenization, Textrank, Networkx, etc.
Text summarization involves reducing the text that is built from one or more texts so that particularly important information in the text is not lost. Text summarization compresses raw text to display only what is important and necessary for the user. When summarizing an article, decisions are often made quickly in order to capture the essence of the paper. It focuses on mining methods and applications in Python. The extraction method defines a set of sentences supported by the subject method. We also consider removing Hindi keywords and extracting nouns in sentences before selecting nouns. Disabling word removal removes empty keywords from input documents, and word search allows words to be grouped by matching numbering system terms. The system is based on a sentence scoring algorithm, supported by the emergence of subject-specific word numbering systems. The recommendations with the highest score will be added to the summary. The generated resumes are then processed to help remove irrelevant phrases from the pre-selected resume suggestions, making the suggestions look more like human-generated resumes.
"Hindi Text Summarizer", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.174 - 176, January-2023, Available :https://ijsdr.org/papers/IJSDR2301028.pdf
Volume 8
Issue 1,
January-2023
Pages : 174 - 176
Paper Reg. ID: IJSDR_203251
Published Paper Id: IJSDR2301028
Downloads: 000347333
Research Area: Computer Engineering
Country: Pune, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
