{"id":"https://openalex.org/W2903252676","doi":"https://doi.org/10.1109/icacci.2018.8554531","title":"Hadoop and Natural Language Processing Based Analysis on Kisan Call Center (KCC) Data","display_name":"Hadoop and Natural Language Processing Based Analysis on Kisan Call Center (KCC) Data","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903252676","doi":"https://doi.org/10.1109/icacci.2018.8554531","mag":"2903252676"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016347852","display_name":"Vandanapu Kasi Viswanath","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vandanapu Kasi Viswanath","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049963688","display_name":"Chandu Gayathri Venu Madhuri","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandu Gayathri Venu Madhuri","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081658377","display_name":"Chamarthi Raviteja","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chamarthi Raviteja","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108231219","display_name":"S. Saravanan","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Saravanan","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038866834","display_name":"Manju Venugopalan","orcid":"https://orcid.org/0000-0001-9325-8948"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manju Venugopalan","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016347852"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.617,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86479423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1142","last_page":"1151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752537190914154},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6242905855178833},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6090564727783203},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5536141395568848},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.5388824939727783},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.5296998620033264},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45574095845222473},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36679837107658386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3524544835090637},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33084753155708313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18265578150749207},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17309552431106567},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11834359169006348},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.10802516341209412},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08612582087516785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752537190914154},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6242905855178833},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6090564727783203},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5536141395568848},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.5388824939727783},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5296998620033264},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45574095845222473},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36679837107658386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3524544835090637},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33084753155708313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18265578150749207},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17309552431106567},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11834359169006348},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.10802516341209412},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08612582087516785},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1973867972","https://openalex.org/W2005001245","https://openalex.org/W2030397439","https://openalex.org/W2033319677","https://openalex.org/W2036543108","https://openalex.org/W2095178814","https://openalex.org/W2143017621","https://openalex.org/W2180882458","https://openalex.org/W2182043445","https://openalex.org/W2255929118","https://openalex.org/W2261525379","https://openalex.org/W2304990697","https://openalex.org/W2747680751","https://openalex.org/W2766349247","https://openalex.org/W2883180611","https://openalex.org/W4245267204","https://openalex.org/W6637131181","https://openalex.org/W6685888914","https://openalex.org/W6752526204"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Call":[0,25],"Centers":[1,26],"have":[2],"always":[3],"played":[4],"a":[5,46,49,67,146],"highly":[6],"significant":[7],"role":[8],"in":[9,66,98],"the":[10,29,36,51,55,61,79,87,101,105,115,130,140,159],"service":[11],"industry,":[12],"from":[13],"retail":[14],"to":[15,31,35,75,113,124,157,162],"technical":[16],"support.":[17],"Government":[18],"of":[19,63,100,109,136],"India":[20],"(GOI)":[21],"has":[22,143],"launched":[23],"Kisan":[24],"(KCC)":[27],"across":[28],"country":[30],"deliver":[32],"extension":[33],"services":[34],"farming":[37],"community":[38],"for":[39,104],"resolving":[40],"their":[41],"diverse":[42],"problems.":[43],"Every":[44],"time":[45],"farmer":[47,56],"makes":[48],"call,":[50],"query":[52],"asked":[53,81,90,168],"by":[54,82,91,148,169],"is":[57,112],"recorded":[58,85],"manually":[59],"and":[60,72,150],"number":[62,135],"calls":[64,137],"generated":[65],"day":[68],"will":[69],"be":[70,95],"many":[71],"that":[73],"leads":[74],"Big":[76],"Data.":[77],"As":[78],"questions":[80],"farmers":[83,93,149],"are":[84,138,166],"manually,":[86],"same":[88],"question":[89],"different":[92],"can":[94],"framed":[96],"differently":[97],"terms":[99],"words":[102],"used":[103],"query.":[106],"The":[107],"idea":[108],"this":[110],"paper":[111],"analyze":[114],"large":[116],"KCC":[117],"datasets":[118],"using":[119],"Hadoop":[120],"based":[121],"MapReduce":[122],"algorithms":[123],"draw":[125],"interesting":[126],"insights":[127],"such":[128],"as":[129],"hour":[131],"during":[132],"which":[133,142,164],"highest":[134],"made,":[139],"crop":[141],"been":[144],"questioned":[145],"lot":[147],"use":[151],"Natural":[152],"Language":[153],"Processing":[154],"(NLP)":[155],"techniques":[156],"group":[158],"similar":[160],"queries":[161,165],"know":[163],"frequently":[167],"farmers,":[170],"project":[171],"these":[172],"findings":[173],"graphically.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
