{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:08:48Z","timestamp":1742926128553,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031364013"},{"type":"electronic","value":"9783031364020"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36402-0_50","type":"book-chapter","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T21:39:27Z","timestamp":1687556367000},"page":"534-542","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Sentiment Analysis of Twitter Data on \u2018The Agnipath Yojana\u2019"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5741-726X","authenticated-orcid":false,"given":"Vamsi Krishna","family":"Mulukutla","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5726-5729","authenticated-orcid":false,"given":"Sai Supriya","family":"Pavarala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1527-0000","authenticated-orcid":false,"given":"Vinay Kumar","family":"Kareti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2434-2052","authenticated-orcid":false,"given":"Sujan","family":"Midatani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1971-4965","authenticated-orcid":false,"given":"Sridevi","family":"Bonthu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,24]]},"reference":[{"issue":"2","key":"50_CR1","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TCSS.2019.2956957","volume":"7","author":"K Chakraborty","year":"2020","unstructured":"Chakraborty, K., Bhattacharyya, S., Bag, R.: A survey of sentiment analysis from social media data. IEEE Trans. Comput. Soc. Syst. 7(2), 450\u2013464 (2020)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"50_CR2","doi-asserted-by":"crossref","unstructured":"Urych, I., Matysiak, G.: Preparing youth for defence: socialisation, education, and training of young people in Europe for national security. Secur. Defence Q. 38 (2022)","DOI":"10.35467\/sdq\/149891"},{"key":"50_CR3","unstructured":"Batra, J.: The youth must tread the Agni-path. The Times of India (2022)"},{"key":"50_CR4","unstructured":"Behera, L.K.: High on revenue, low on capital: India\u2019s defence budget 2023\u201324 (2023)"},{"key":"50_CR5","doi-asserted-by":"publisher","first-page":"114006","DOI":"10.1016\/j.eswa.2020.114006","volume":"164","author":"D Antonakaki","year":"2021","unstructured":"Antonakaki, D., Fragopoulou, P., Ioannidis, S.: A survey of Twitter research: data model, graph structure, sentiment analysis and attacks. Expert Syst. Appl. 164, 114006 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"50_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-020-00696-x","volume":"10","author":"MR Islam","year":"2020","unstructured":"Islam, M.R., et al.: Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. 10(1), 1\u201320 (2020). https:\/\/doi.org\/10.1007\/s13278-020-00696-x","journal-title":"Soc. Netw. Anal. Min."},{"issue":"1","key":"50_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-020-00709-9","volume":"11","author":"EJ Kwak","year":"2021","unstructured":"Kwak, E.J., Grable, J.E.: Conceptualizing the use of the term financial risk by non-academics and academics using twitter messages and ScienceDirect paper abstracts. Soc. Netw. Anal. Min. 11(1), 1\u201314 (2021). https:\/\/doi.org\/10.1007\/s13278-020-00709-9","journal-title":"Soc. Netw. Anal. Min."},{"key":"50_CR8","doi-asserted-by":"publisher","unstructured":"Boddapati, M.S.D., Chatradi, M.S., Bonthu, S., Dayal, A.: YouTube Comment Analysis Using Lexicon Based Techniques. In: Gupta, N., Pareek, P., Reis, M. (eds.) IC4S 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 472, pp. 76\u201385. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28975-0_7","DOI":"10.1007\/978-3-031-28975-0_7"},{"key":"50_CR9","doi-asserted-by":"crossref","unstructured":"Hutto, C., Gilbert, E.: VADER: a parsimonious rule-based model for sentiment analysis of social media text. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, no. 1 (2014)","DOI":"10.1609\/icwsm.v8i1.14550"},{"issue":"Jan","key":"50_CR10","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"7","key":"50_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3462478","volume":"54","author":"U Chauhan","year":"2021","unstructured":"Chauhan, U., Shah, A.: Topic modeling using latent Dirichlet allocation: a survey. ACM Comput. Surv. (CSUR) 54(7), 1\u201335 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"3","key":"50_CR12","first-page":"62","volume":"19","author":"M Abbas","year":"2019","unstructured":"Abbas, M., et al.: Multinomial Naive Bayes classification model for sentiment analysis. IJCSNS Int. J. Comput. Sci. Netw. Secur 19(3), 62 (2019)","journal-title":"IJCSNS Int. J. Comput. Sci. Netw. Secur"},{"key":"50_CR13","unstructured":"Devlin, J., et al.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"50_CR14","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"key":"50_CR15","doi-asserted-by":"crossref","unstructured":"Deshpande, A., Kamath, C., Joglekar, M.: A comparison study of classification methods and effects of sampling on unbalanced data. In: 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE (2019)","DOI":"10.1109\/ICSSIT46314.2019.8987801"},{"key":"50_CR16","doi-asserted-by":"crossref","unstructured":"Bonthu, S., Rama Sree, S., Krishna Prasad, M.H.M.: Improving the performance of automatic short answer grading using transfer learning and augmentation. Eng. Appl. Artif. Intell. 123, 106292 (2023)","DOI":"10.1016\/j.engappai.2023.106292"}],"container-title":["Lecture Notes in Computer Science","Multi-disciplinary Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36402-0_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T11:14:29Z","timestamp":1687605269000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36402-0_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031364013","9783031364020"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36402-0_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"24 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIWAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multi-disciplinary Trends in Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hyberabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miwai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"245","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1 invited article","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}