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pro vyhledávání: '"Nibedita Panigrahi"'
Publikováno v:
International Journal of Engineering Trends and Technology. 71:227-235
Publikováno v:
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC).
Autor:
Nibedita Panigrahi, Dr. Asha. T
To assist prospective consumers make educated purchasing choices, we are analyzing and mining data from product reviews on online shopping websites. Two methods exist for extracting aspects. Rule-based and Highest Adjective Count (HAC) algorithms. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::29506ea47c533b6264d135aa5776430f
https://zenodo.org/record/8094959
https://zenodo.org/record/8094959
Autor:
Sonali Priyadarshini Parida, Mriganka Das, Daffodil Mohanta, Bidyut Kumar Kundu, Nibedita Panigrahi, Mahendiali Palsaniya, Dhruvin Kumar Patel, Bansari Patel
Publikováno v:
Journal of Biomedical Research & Environmental Sciences. 2:383-391
The severe acute respiratory syndrome coronavirus 2, better known as COVID-19, has become a major health concern worldwide. It has challenged the global healthcare sector like anything. It appeared in Wuhan, China, around November 2019, had spread to
Publikováno v:
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON).
Autor:
Nibedita Panigrahi, T. Asha
Publikováno v:
Journal of Computer Science. 14:1512-1520
Opinion play a vital role which impacts the business in large extent. Users by-and-large depend on the reviews of others to avail the services. Online hotel bookings are becoming popular because of mobile applications being used on smart phones for p
Autor:
Nibedita Panigrahi, T. Asha
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811080548
Sentimental analysis is a part of natural language processing which extracts and analyzes the opinions, sentiments, and emotions from written language. In today’s world, every organization always wants to know public and customer’s feedback about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3687efade6f4c673b0f54e9c84b4361b
https://doi.org/10.1007/978-981-10-8055-5_34
https://doi.org/10.1007/978-981-10-8055-5_34
Publikováno v:
International Journal of Computer Science and Informatics. :18-22
Data mining is a part of know ledge Discovery in database process (KDD). As technology advances, floods of data can be produced and shared in many appliances such as wireless Sensor networks or Web click streams. This calls for extracting useful info