Pub Date : 2019-03-01DOI: 10.17577/ijertv9is080007
P. Raj, Apoorv Bhandari, Ashutosh Kumar Singh, Mrinal Puri, Shaily Malik
With increasing number of users contributing in digital text generation, it becomes necessary to have some tools to extract relevant information from these text documents. Manually performing this task is a time consuming and tidious process. Both Matrix Factorization Based and Graph-Based Models are unsupervised models for extracting a summary from text documents. As the training phase is not required for both these methods, they are extremely fast. Both these methods construct an intermediate representation of a text document and use it to assign a score to each sentence present in the text document. In this paper, we discussed the underlying concept behind both the methods and compare them on the basis of quality of summary extracted.
{"title":"Comparison of Matrix Factorization and Graph-Based Models for Summary Extraction","authors":"P. Raj, Apoorv Bhandari, Ashutosh Kumar Singh, Mrinal Puri, Shaily Malik","doi":"10.17577/ijertv9is080007","DOIUrl":"https://doi.org/10.17577/ijertv9is080007","url":null,"abstract":"With increasing number of users contributing in digital text generation, it becomes necessary to have some tools to extract relevant information from these text documents. Manually performing this task is a time consuming and tidious process. Both Matrix Factorization Based and Graph-Based Models are unsupervised models for extracting a summary from text documents. As the training phase is not required for both these methods, they are extremely fast. Both these methods construct an intermediate representation of a text document and use it to assign a score to each sentence present in the text document. In this paper, we discussed the underlying concept behind both the methods and compare them on the basis of quality of summary extracted.","PeriodicalId":351157,"journal":{"name":"2019 6th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-31DOI: 10.26438/IJCSE/V6I12.980983
R. Bansal, Nimish Niret Soren, Ankita Sharma
BCCNT (Blockchain Cloud Network Tool) is open source project to make cloud storage applications decentralized which will make them secure and efficient for the end users. It provides a platform for the prototype of a completely distributed network. It is proposed to develop an application which can provide a user interface for less technical/non-technical users. The cryptocurrencies functions both as a bonus and payment method. While on the other hand a separate blockchain is used to store the data for the metadata file. The application needs to be run in a P2P mesh from systems that will execute the code, present on a public chain of data instead of a central database. The main thought behind BCCNT is to offer a group of functions which makes it easy to connect Cloud & major platforms’ and end users.
{"title":"Blockchain Distributed Cloud Storage Network Tool (BCCNT)","authors":"R. Bansal, Nimish Niret Soren, Ankita Sharma","doi":"10.26438/IJCSE/V6I12.980983","DOIUrl":"https://doi.org/10.26438/IJCSE/V6I12.980983","url":null,"abstract":"BCCNT (Blockchain Cloud Network Tool) is open source project to make cloud storage applications decentralized which will make them secure and efficient for the end users. It provides a platform for the prototype of a completely distributed network. It is proposed to develop an application which can provide a user interface for less technical/non-technical users. The cryptocurrencies functions both as a bonus and payment method. While on the other hand a separate blockchain is used to store the data for the metadata file. The application needs to be run in a P2P mesh from systems that will execute the code, present on a public chain of data instead of a central database. The main thought behind BCCNT is to offer a group of functions which makes it easy to connect Cloud & major platforms’ and end users.","PeriodicalId":351157,"journal":{"name":"2019 6th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123531695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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