KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
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http://krishi.icar.gov.in/jspui/handle/123456789/49483Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sreekumar Biswas | en_US |
| dc.contributor.author | Rajni Jain | en_US |
| dc.contributor.author | Sudeep Marwaha | en_US |
| dc.contributor.author | Alka Arora | en_US |
| dc.date.accessioned | 2021-07-23T07:47:39Z | - |
| dc.date.available | 2021-07-23T07:47:39Z | - |
| dc.date.issued | 2017-03-01 | - |
| dc.identifier.citation | Rajni Jain, Sudeep Marwaha and Alka Arora(2017). Framework for Text Categorization in Agricultural Domain, Proceedings of the 11th INDIACom; INDIACom-2017; IEEE Conference ID: 40353 4th International Conference on “Computing for Sustainable Global Development”, 01st - 03rd March, 2017 Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA) | en_US |
| dc.identifier.issn | 0973-7529 | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/49483 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Recent trends in agriculture yields a large number of researches and articles related to it. It has become a daily routine to access these articles by modern day researchers. But due to the fact that these information are in an unstructured form, readers might face difficulty to access these information. Text Categorization, a branch of Text Mining, is a very useful technique to represent these unstructured text in a structured way. In this research, a number of research articles has been categorized using text categorization by applying some popular machine learning algorithms. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Not Available | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | Text Categorization | en_US |
| dc.subject | text Mining | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Classifier | en_US |
| dc.subject | Receiver Operating Characteristic | en_US |
| dc.title | Framework for Text Categorization in Agricultural | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Research Paper | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Proceedings of the 11th INDIACom; INDIACom-2017; IEEE Conference ID: 40353 | en_US |
| dc.publication.volumeno | Not Available | en_US |
| dc.publication.pagenumber | 434-437 | en_US |
| dc.publication.divisionUnit | Computer Application | en_US |
| dc.publication.sourceUrl | Not Available | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
| dc.publication.authorAffiliation | ICAR::National Institute of Agricultural Economics and Policy Research | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | Not Available | - |
| Appears in Collections: | AEdu-IASRI-Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SreeKumar paper IndiaCom.pdf | 667.18 kB | Adobe PDF | View/Open |
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