Articoli di riviste sul tema "Corpus de tweets"
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Mitra, Tanushree, e Eric Gilbert. "CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations". Proceedings of the International AAAI Conference on Web and Social Media 9, n. 1 (3 agosto 2021): 258–67. http://dx.doi.org/10.1609/icwsm.v9i1.14625.
Chen, Lu, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang e Amit Sheth. "Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter". Proceedings of the International AAAI Conference on Web and Social Media 6, n. 1 (3 agosto 2021): 50–57. http://dx.doi.org/10.1609/icwsm.v6i1.14252.
Yang, Yuan-Chi, Mohammed Ali Al-Garadi, Whitney Bremer, Jane M. Zhu, David Grande e Abeed Sarker. "Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid". Journal of Medical Internet Research 23, n. 5 (3 maggio 2021): e26616. http://dx.doi.org/10.2196/26616.
Al-Twairesh, Nora, Hend Al-Khalifa, AbdulMalik Al-Salman e Yousef Al-Ohali. "AraSenTi-Tweet: A Corpus for Arabic Sentiment Analysis of Saudi Tweets". Procedia Computer Science 117 (2017): 63–72. http://dx.doi.org/10.1016/j.procs.2017.10.094.
Abayomi-Alli, Adebayo, Olusola Abayomi-Alli, Sanjay Misra e Luis Fernandez-Sanz. "Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms". Information 13, n. 3 (15 marzo 2022): 152. http://dx.doi.org/10.3390/info13030152.
V, Ashwin. "Twitter Tweet Classifier". IAES International Journal of Artificial Intelligence (IJ-AI) 5, n. 1 (1 marzo 2016): 41. http://dx.doi.org/10.11591/ijai.v5.i1.pp41-44.
Park, Jung Ran, e Houda El Mimouni. "Emoticons and non-verbal communications across Arabic, English, and Korean Tweets". Global Knowledge, Memory and Communication 69, n. 8/9 (6 giugno 2020): 579–95. http://dx.doi.org/10.1108/gkmc-02-2020-0021.
Li, Quanzhi, Sameena Shah, Xiaomo Liu e Armineh Nourbakhsh. "Data Sets: Word Embeddings Learned from Tweets and General Data". Proceedings of the International AAAI Conference on Web and Social Media 11, n. 1 (3 maggio 2017): 428–36. http://dx.doi.org/10.1609/icwsm.v11i1.14859.
Vieira da Silva, Fernando J., Norton T. Roman e Ariadne M. B. R. Carvalho. "Stock market tweets annotated with emotions". Corpora 15, n. 3 (novembre 2020): 343–54. http://dx.doi.org/10.3366/cor.2020.0203.
McDonald, Graham, Romain Deveaud, Richard McCreadie, Craig Macdonald e Iadh Ounis. "Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management". Proceedings of the International AAAI Conference on Web and Social Media 9, n. 1 (3 agosto 2021): 654–57. http://dx.doi.org/10.1609/icwsm.v9i1.14674.
Smułczyński, Michał. "Microblogging in Denmark and Poland — a contrastive analysis. Part II". Scandinavian Philology 19, n. 2 (2021): 285–312. http://dx.doi.org/10.21638/11701/spbu21.2021.205.
Slemp, Katie. "Attitudes towards varied inclusive language use in Spanish on Twitter". Working papers in Applied Linguistics and Linguistics at York 1 (13 settembre 2021): 60–74. http://dx.doi.org/10.25071/2564-2855.6.
Maceda, Lany L., Jennifer L. Llovido e Thelma D. Palaoag. "Corpus Analysis of Earthquake Related Tweets through Topic Modelling". International Journal of Machine Learning and Computing 7, n. 6 (dicembre 2017): 194–97. http://dx.doi.org/10.18178/ijmlc.2017.7.6.645.
Roberts, Helen, Bernd Resch, Jon Sadler, Lee Chapman, Andreas Petutschnig e Stefan Zimmer. "Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis". Urban Planning 3, n. 1 (29 marzo 2018): 21–33. http://dx.doi.org/10.17645/up.v3i1.1231.
Shin, Han-Sub, Hyuk-Yoon Kwon e Seung-Jin Ryu. "A New Text Classification Model Based on Contrastive Word Embedding for Detecting Cybersecurity Intelligence in Twitter". Electronics 9, n. 9 (18 settembre 2020): 1527. http://dx.doi.org/10.3390/electronics9091527.
Dynel, Marta. "#HaStatoPutin Affinity Space: From Political Work to Autotelic Humor". Social Media + Society 8, n. 4 (ottobre 2022): 205630512211387. http://dx.doi.org/10.1177/20563051221138760.
Alruily, Meshrif. "Issues of Dialectal Saudi Twitter Corpus". International Arab Journal of Information Technology 17, n. 3 (1 maggio 2019): 367–74. http://dx.doi.org/10.34028/iajit/17/3/10.
Fernández-Martínez, Nicolás José. "The FGLOCTweet Corpus: An English tweet-based corpus for fine-grained location-detection tasks". Research in Corpus Linguistics 10, n. 1 (2022): 117–33. http://dx.doi.org/10.32714/ricl.10.01.06.
Breeze, Ruth. "Angry tweets". Journal of Language Aggression and Conflict 8, n. 1 (25 febbraio 2020): 118–45. http://dx.doi.org/10.1075/jlac.00033.bre.
Baig, Amber, Mutee U. Rahman, Hameedullah Kazi e Ahsanullah Baloch. "Developing a POS Tagged Corpus of Urdu Tweets". Computers 9, n. 4 (7 novembre 2020): 90. http://dx.doi.org/10.3390/computers9040090.
Singh, Purva. "Covhindia: Deep Learning Framework for Sentiment Polarity Detection of Covid-19 Tweets in Hindi". International Journal on Natural Language Computing 9, n. 5 (30 ottobre 2020): 23–34. http://dx.doi.org/10.5121/ijnlc.2020.9502.
Pereira, Márcia Helena de Melo, e Ana Claudia Oliveira Azevedo. "A reelaboração de gêneros em tweets: propósitos comunicativos em 280 caracteres". Fórum Linguístico 19, n. 3 (23 novembre 2022): 8232–51. http://dx.doi.org/10.5007/1984-8412.2022.e76925.
Tak, Raghu. "A Quantifiable Analysis of Ambivalence in Tweets". International Journal for Research in Applied Science and Engineering Technology 10, n. 4 (30 aprile 2022): 691–99. http://dx.doi.org/10.22214/ijraset.2022.41340.
Weissenbacher, Davy, Abeed Sarker, Ari Klein, Karen O’Connor, Arjun Magge e Graciela Gonzalez-Hernandez. "Deep neural networks ensemble for detecting medication mentions in tweets". Journal of the American Medical Informatics Association 26, n. 12 (27 settembre 2019): 1618–26. http://dx.doi.org/10.1093/jamia/ocz156.
Escamilla, Imelda, Clodoveu A. Davis Jr., Marco Moreno-Ibarra e Vladimir Luna. "Geocoding of Spatial Relationships Contained in Tweets". International Journal of Knowledge Society Research 7, n. 1 (gennaio 2016): 26–42. http://dx.doi.org/10.4018/ijksr.2016010102.
Tahir, Bilal, e Muhammad Amir Mehmood. "Anbar: Collection and analysis of a large scale Urdu language Twitter corpus". Journal of Intelligent & Fuzzy Systems 42, n. 5 (31 marzo 2022): 4789–800. http://dx.doi.org/10.3233/jifs-219266.
Almuqren, Latifah, e Alexandra Cristea. "AraCust: a Saudi Telecom Tweets corpus for sentiment analysis". PeerJ Computer Science 7 (20 maggio 2021): e510. http://dx.doi.org/10.7717/peerj-cs.510.
Valdez, Danny, e Jennifer B. Unger. "Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL". JMIR Infodemiology 1, n. 1 (7 dicembre 2021): e29011. http://dx.doi.org/10.2196/29011.
Makowska, Magdalena. "#naukanatwitterze. O multimodalnym designie informacji w dyskursie cyfrowym". Forum Lingwistyczne, n. 7 (20 novembre 2020): 89–104. http://dx.doi.org/10.31261/fl.2020.07.07.
Schaefer, Robin, e Manfred Stede. "Argument Mining on Twitter: A survey". it - Information Technology 63, n. 1 (1 febbraio 2021): 45–58. http://dx.doi.org/10.1515/itit-2020-0053.
Martínez-Cámara, Eugenio, M. Teresa Martín-Valdivia, L. Alfonso Ureña-López e Ruslan Mitkov. "Polarity classification for Spanish tweets using the COST corpus". Journal of Information Science 41, n. 3 (3 febbraio 2015): 263–72. http://dx.doi.org/10.1177/0165551514566564.
Sulaiman, Hamdun, Muhamad Ryansyah, Kudiantoro Widianto, Sidik Sidik e Andria Nugraha. "Implementasi Machine Learning Dengan Metode Text Mining Pada Twitter". Infotek : Jurnal Informatika dan Teknologi 7, n. 1 (20 gennaio 2024): 52–62. http://dx.doi.org/10.29408/jit.v7i1.23734.
Bel-Enguix, Gemma, Helena Gómez-Adorno, Alejandro Pimentel, Sergio-Luis Ojeda-Trueba e Brian Aguilar-Vizuet. "Negation Detection on Mexican Spanish Tweets: The T-MexNeg Corpus". Applied Sciences 11, n. 9 (25 aprile 2021): 3880. http://dx.doi.org/10.3390/app11093880.
Al-Laith, Ali, Muhammad Shahbaz, Hind F. Alaskar e Asim Rehmat. "AraSenCorpus: A Semi-Supervised Approach for Sentiment Annotation of a Large Arabic Text Corpus". Applied Sciences 11, n. 5 (9 marzo 2021): 2434. http://dx.doi.org/10.3390/app11052434.
Albu, Elena. "“Tired, emotional and very very happy. Fantastic day #AFC.” The Expression of Emotions on Twitter during the 2014 European Elections". Recherches anglaises et nord-américaines 51, n. 1 (2018): 57–70. http://dx.doi.org/10.3406/ranam.2018.1564.
Kuhaneswaran, Banujan, Banage T. G. S. Kumara e Incheon Paik. "Strengthening Post-Disaster Management Activities by Rating Social Media Corpus". International Journal of Systems and Service-Oriented Engineering 10, n. 1 (gennaio 2020): 34–50. http://dx.doi.org/10.4018/ijssoe.2020010103.
Schneider, Ulrike. "How Trump tweets: A comparative analysis of tweets by US politicians". Research in Corpus Linguistics 9, n. 2 (2021): 34–63. http://dx.doi.org/10.32714/ricl.09.02.03.
Xu, Xiaoyu, Jeroen Gevers e Luca Rossi. "“Can I write this is ableist AF in a peer review?”: A corpus-driven analysis of Twitter engagement strategies across disciplinary groups". Ibérica, n. 46 (15 dicembre 2023): 207–36. http://dx.doi.org/10.17398/2340-2784.46.207.
Papaccio, Mara. "Matteo Salvini auf Twitter: eine Analyse ausgewählter sprachlicher, stilistischer und rhetorischer Strategien". Italienisch 44, n. 87 (5 settembre 2022): 64–80. http://dx.doi.org/10.24053/ital-2022-0007.
Camargo, Jorge E., Vladimir Vargas-Calderon, Nelson Vargas e Liliana Calderón-Benavides. "Sentiment polarity classification of tweets using a extended dictionary". Inteligencia Artificial 21, n. 62 (7 settembre 2018): 1. http://dx.doi.org/10.4114/intartif.vol21iss62pp1-12.
Brogueira, Gaspar, Fernando Batista e Joao P. Carvalho. "A Smart System for Twitter Corpus Collection, Management and Visualization". International Journal of Technology and Human Interaction 13, n. 3 (luglio 2017): 13–32. http://dx.doi.org/10.4018/ijthi.2017070102.
Baihaqi, Wiga Maulana, Muliasari Pinilih e Miftakhul Rohmah. "Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet". Jurnal Teknologi Informasi dan Ilmu Komputer 7, n. 3 (22 maggio 2020): 501. http://dx.doi.org/10.25126/jtiik.2020732126.
Knight, Dawn, Svenja Adolphs e Ronald Carter. "CANELC: constructing an e-language corpus". Corpora 9, n. 1 (maggio 2014): 29–56. http://dx.doi.org/10.3366/cor.2014.0050.
Albanyan, Abdullah, e Eduardo Blanco. "Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 10 (28 giugno 2022): 10418–26. http://dx.doi.org/10.1609/aaai.v36i10.21284.
Asraoui, Fadi Oukili. "Using the Machine Learning Naive Bayes Algorithms for Sentiment Analysis on Online Product Reviews in the Air of Energy Optimization". E3S Web of Conferences 412 (2023): 01071. http://dx.doi.org/10.1051/e3sconf/202341201071.
Alvi, Arooj. "A Corpus Analysis of Online Education Tweets During Covid-19". Pakistan Social Sciences Review 5, n. III (30 settembre 2021): 376–91. http://dx.doi.org/10.35484/pssr.2021(5-iii)28.
Tarrade, Louis, Jean-Philippe Magué e Jean-Pierre Chevrot. "Detecting and categorising lexical innovations in a corpus of tweets". Psychology of Language and Communication 26, n. 1 (1 gennaio 2022): 313–29. http://dx.doi.org/10.2478/plc-2022-15.
Pascual, Daniel, Pilar Mur-Dueñas e Rosa Lorés. "Looking into international research groups’ digital discursive practices: Criteria and methodological steps taken towards the compilation of the EUROPRO digital corpus". Research in Corpus Linguistics 8, n. 2 (2020): 87–102. http://dx.doi.org/10.32714/ricl.08.02.05.
Canhasi, Ercan, e Rexhep Shijaku. "Using Twitter to collect a multi-dialectal corpus of Albanian using advanced geotagging and dialect modeling". PLOS ONE 18, n. 11 (27 novembre 2023): e0294284. http://dx.doi.org/10.1371/journal.pone.0294284.
Haque, Md Enamul, Eddie C. Ling, Aminul Islam e Mehmet Engin Tozal. "Predicting Domain Specific Personal Attitudes and Sentiment". International Journal of Semantic Computing 14, n. 02 (giugno 2020): 199–222. http://dx.doi.org/10.1142/s1793351x20400073.