Rutuja Kumbhar - Academia.edu (original) (raw)
"It is better to fail in originality than to succeed in imitation."............."Don't be afraid to give up the good to go for the great."
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UERJ - Universidade do Estado do Rio de Janeiro / Rio de Janeiro State University
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Papers by Rutuja Kumbhar
International Journal For Multidisciplinary Research
In this paper the present study disclose the annual rainfall trend in Satara District of Maharash... more In this paper the present study disclose the annual rainfall trend in Satara District of Maharashtra State during 2000 to 2022.The rainfall is one of the basic substantial parameter among the climate for the advancement of society is concern and it also determines the scarcity as well as the environmental factors for the particular region. We know that annual rainfall conditions vary from region to region. The average annual rainfall is the Satara district is 473 mm.
Biomedical Natural Language Processing (BioNLP) is revolutionizing healthcare by enabling the ext... more Biomedical Natural Language Processing (BioNLP) is revolutionizing healthcare by enabling the extraction of valuable insights from vast amounts of textual data. This research paper explores recent developments in BioNLP methodologies and applications. Topics include entity recognition in clinical notes, relation extraction from biomedical literature, and the utilization of deep learning for medical text understanding. Additionally, ethical considerations in handling sensitive health information are discussed. The study contributes to the growing field of Biomedical NLP, showcasing its potential impact on clinical decision-making, research, and healthcare management.
2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020
With growing technologies commercial sites, social media, organizations generate lots of data. Ho... more With growing technologies commercial sites, social media, organizations generate lots of data. However, this huge amount of information needs to be organized properly. For this, the text mining process used as extracting relevant features and knowledge of the given unstructured text documents. The document clustering method in text mining is used for retrieving interesting features. In which similar documents organize into different groups called clusters. The large dimensions of data become a barrier in the extraction of useful information, so using dimensionality reduction (DR) technique for reducing the dimensions of the data matrices. Further data divide into groups using the k-means clustering algorithm. This study implements TF-IDF, singular value decomposition (SVD), non-negative matrix factorization (NMF), and k-means clustering. Finally, the results of the comparison of scores of kmeans, SVD with kmeans, and NMF with k-means are shown by graphical representation. The system...
International Journal For Multidisciplinary Research
In this paper the present study disclose the annual rainfall trend in Satara District of Maharash... more In this paper the present study disclose the annual rainfall trend in Satara District of Maharashtra State during 2000 to 2022.The rainfall is one of the basic substantial parameter among the climate for the advancement of society is concern and it also determines the scarcity as well as the environmental factors for the particular region. We know that annual rainfall conditions vary from region to region. The average annual rainfall is the Satara district is 473 mm.
Biomedical Natural Language Processing (BioNLP) is revolutionizing healthcare by enabling the ext... more Biomedical Natural Language Processing (BioNLP) is revolutionizing healthcare by enabling the extraction of valuable insights from vast amounts of textual data. This research paper explores recent developments in BioNLP methodologies and applications. Topics include entity recognition in clinical notes, relation extraction from biomedical literature, and the utilization of deep learning for medical text understanding. Additionally, ethical considerations in handling sensitive health information are discussed. The study contributes to the growing field of Biomedical NLP, showcasing its potential impact on clinical decision-making, research, and healthcare management.
2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020
With growing technologies commercial sites, social media, organizations generate lots of data. Ho... more With growing technologies commercial sites, social media, organizations generate lots of data. However, this huge amount of information needs to be organized properly. For this, the text mining process used as extracting relevant features and knowledge of the given unstructured text documents. The document clustering method in text mining is used for retrieving interesting features. In which similar documents organize into different groups called clusters. The large dimensions of data become a barrier in the extraction of useful information, so using dimensionality reduction (DR) technique for reducing the dimensions of the data matrices. Further data divide into groups using the k-means clustering algorithm. This study implements TF-IDF, singular value decomposition (SVD), non-negative matrix factorization (NMF), and k-means clustering. Finally, the results of the comparison of scores of kmeans, SVD with kmeans, and NMF with k-means are shown by graphical representation. The system...