{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T18:46:47Z","timestamp":1785005207533,"version":"3.55.0"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3334260","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T19:16:24Z","timestamp":1700248584000},"page":"131081-131088","source":"Crossref","is-referenced-by-count":3,"title":["Annotators\u2019 Selection Impact on the Creation of a Sentiment Corpus for the Cryptocurrency Financial Domain"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2988-0630","authenticated-orcid":false,"given":"Manoel Fernando Alonso","family":"Gadi","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Alcal&#x00E1; de Henares, Alcal&#x00E1; de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3067-4180","authenticated-orcid":false,"given":"Miguel \u00c1ngel","family":"Sicilia","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Alcal&#x00E1; de Henares, Alcal&#x00E1; de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"142","article-title":"Learning word vectors for sentiment analysis","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics, Hum. Lang. Technol.","volume":"1","author":"Maas"},{"key":"ref2","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process","author":"Socher"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-021-09555-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-021-09562-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/informatics10010005"},{"key":"ref6","article-title":"Crypto asset taxonomy classification and crypto news sentiment analysis","author":"K\u00f6se","year":"2020"},{"key":"ref7","volume-title":"CoinMarketCal Crypto News","year":"2022"},{"key":"ref8","article-title":"Twitter sentiment classification using distant supervision","author":"Go","year":"2009"},{"key":"ref9","first-page":"1166","article-title":"FinLin: A fine-grained sentiment annotated financial news corpus","volume-title":"Proc. 12th Int. Conf. Lang. Resour. Eval","author":"Daudert"},{"key":"ref10","first-page":"1182","article-title":"A corpus of fine-grained company-specific events in English economic news articles","volume-title":"Proc. 12th Int. Conf. Lang. Resour. Eval","author":"Spitz"},{"key":"ref11","first-page":"2488","article-title":"A consensus mechanism for video data annotation","volume-title":"Proc. IEEE Int. Conf. Big Data","author":"Alsharif"},{"key":"ref12","article-title":"News aggregation and summarization for cryptocurrency and blockchain news","volume-title":"Proc. AAAI Conf. Artif. Intell","author":"Smith"},{"key":"ref13","article-title":"Cryptocurrency descriptions annotated with sector, asset type and transaction anonymity labels","volume-title":"Proc. ACM Conf. Inf. Knowl. Manag","author":"Brown"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-021-08578-9"},{"key":"ref15","volume-title":"CryptoLinUtad Dataset and Python Jupyter Notebooks Reproducibility Codes","author":"Gadi","year":"2022"},{"key":"ref16","volume-title":"CryptoLinIE Dataset and Python Jupyter Notebooks Reproducibility Codes","author":"Gadi","year":"2022"},{"key":"ref17","volume-title":"CryptoLin Dataset and Python Jupyter Notebooks Reproducibility Codes","author":"Gadi","year":"2022"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1037\/h0031619"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2958.2004.tb00738.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1348\/000711006X126600"},{"key":"ref21","article-title":"PyCM: Multi class confusion matrix library in Python","author":"Haghighi","year":"2018"},{"key":"ref22","volume-title":"Estimating Stock Returns With Fama-French Three-Factor Model in Python","author":"Teo","year":"2021"},{"key":"ref23","author":"French","year":"2022","journal-title":"Fama French Data Set"},{"key":"ref24","volume-title":"VADER-Sentiment-Analysis","author":"Hutto","year":"2014"},{"key":"ref25","volume-title":"TextBlob Sentiment Analysis","author":"Loria","year":"2013"},{"key":"ref26","volume-title":"Flair NLP Library","author":"Akbik","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/622"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.11613\/BM.2012.031"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2092"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.alw-1.21"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2305016120"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10322757.pdf?arnumber=10322757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T21:40:27Z","timestamp":1709415627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10322757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3334260","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}